Overview

Dataset statistics

Number of variables28
Number of observations602
Missing cells1656
Missing cells (%)9.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory131.8 KiB
Average record size in memory224.2 B

Variable types

Numeric10
DateTime1
Categorical16
Unsupported1

Warnings

Date Added has constant value "2020-11-15 00:00:00" Constant
category has constant value "Garden" Constant
days_when_seller_added has constant value "223" Constant
sellerlink has a high cardinality: 602 distinct values High cardinality
sellerlink-url has a high cardinality: 602 distinct values High cardinality
sellerstorefront-url has a high cardinality: 602 distinct values High cardinality
sellerproductcount has a high cardinality: 235 distinct values High cardinality
sellerratings has a high cardinality: 472 distinct values High cardinality
sellerdetails has a high cardinality: 572 distinct values High cardinality
seller business name has a high cardinality: 546 distinct values High cardinality
businessaddress has a high cardinality: 527 distinct values High cardinality
Sample brand name has a high cardinality: 486 distinct values High cardinality
Sample Brand URL has a high cardinality: 493 distinct values High cardinality
seller_email_address1 has a high cardinality: 144 distinct values High cardinality
seller_phone_number has a high cardinality: 350 distinct values High cardinality
Max % of negative seller ratings - last 30 days is highly correlated with Max % of negative seller ratings - last 90 daysHigh correlation
Max % of negative seller ratings - last 90 days is highly correlated with Max % of negative seller ratings - last 30 days and 1 other fieldsHigh correlation
Max % of negative seller ratings - last 12 months is highly correlated with Max % of negative seller ratings - last 90 days and 1 other fieldsHigh correlation
Hero Product 1 #ratings is highly correlated with Hero Product 2 #ratingsHigh correlation
Hero Product 2 #ratings is highly correlated with Hero Product 1 #ratingsHigh correlation
seller_positive_rating_percentage is highly correlated with Max % of negative seller ratings - last 12 monthsHigh correlation
Count of seller brands is highly correlated with Hero Product 1 #ratings and 1 other fieldsHigh correlation
Max % of negative seller ratings - last 30 days is highly correlated with Max % of negative seller ratings - last 90 daysHigh correlation
Max % of negative seller ratings - last 90 days is highly correlated with Max % of negative seller ratings - last 30 days and 1 other fieldsHigh correlation
Max % of negative seller ratings - last 12 months is highly correlated with Max % of negative seller ratings - last 90 days and 1 other fieldsHigh correlation
Hero Product 1 #ratings is highly correlated with Count of seller brands and 1 other fieldsHigh correlation
Hero Product 2 #ratings is highly correlated with Count of seller brands and 1 other fieldsHigh correlation
seller_positive_rating_percentage is highly correlated with Max % of negative seller ratings - last 12 monthsHigh correlation
Count of seller brands is highly correlated with Hero Product 1 #ratings and 1 other fieldsHigh correlation
Max % of negative seller ratings - last 30 days is highly correlated with Max % of negative seller ratings - last 90 daysHigh correlation
Max % of negative seller ratings - last 90 days is highly correlated with Max % of negative seller ratings - last 30 days and 1 other fieldsHigh correlation
Max % of negative seller ratings - last 12 months is highly correlated with Max % of negative seller ratings - last 90 days and 1 other fieldsHigh correlation
Hero Product 1 #ratings is highly correlated with Count of seller brands and 1 other fieldsHigh correlation
Hero Product 2 #ratings is highly correlated with Count of seller brands and 1 other fieldsHigh correlation
seller_positive_rating_percentage is highly correlated with Max % of negative seller ratings - last 12 monthsHigh correlation
Max % of negative seller ratings - last 30 days is highly correlated with Max % of negative seller ratings - last 12 months and 1 other fieldsHigh correlation
seller_count is highly correlated with country_code and 1 other fieldsHigh correlation
seller_email_address2 is highly correlated with Count of seller brands and 4 other fieldsHigh correlation
Count of seller brands is highly correlated with seller_email_address2High correlation
Hero Product 1 #ratings is highly correlated with seller_email_address2 and 2 other fieldsHigh correlation
seller_positive_rating_percentage is highly correlated with seller_email_address2 and 3 other fieldsHigh correlation
country_code is highly correlated with seller_count and 4 other fieldsHigh correlation
Max % of negative seller ratings - last 12 months is highly correlated with Max % of negative seller ratings - last 30 days and 2 other fieldsHigh correlation
Hero Product 2 #ratings is highly correlated with Hero Product 1 #ratings and 1 other fieldsHigh correlation
df_index is highly correlated with seller_email_address2High correlation
Max % of negative seller ratings - last 90 days is highly correlated with Max % of negative seller ratings - last 30 days and 2 other fieldsHigh correlation
seller_positive_rating_count is highly correlated with seller_countHigh correlation
days_when_seller_added is highly correlated with category and 2 other fieldsHigh correlation
category is highly correlated with days_when_seller_added and 2 other fieldsHigh correlation
country_code is highly correlated with days_when_seller_added and 2 other fieldsHigh correlation
seller_email_address2 is highly correlated with days_when_seller_added and 2 other fieldsHigh correlation
sellerproductcount has 121 (20.1%) missing values Missing
sellerratings has 43 (7.1%) missing values Missing
sellerdetails has 26 (4.3%) missing values Missing
seller business name has 56 (9.3%) missing values Missing
businessaddress has 75 (12.5%) missing values Missing
country_code has 75 (12.5%) missing values Missing
seller_count has 121 (20.1%) missing values Missing
seller_positive_rating_percentage has 43 (7.1%) missing values Missing
seller_positive_rating_count has 43 (7.1%) missing values Missing
seller_email_address1 has 457 (75.9%) missing values Missing
seller_email_address2 has 596 (99.0%) missing values Missing
sellerlink is uniformly distributed Uniform
sellerlink-url is uniformly distributed Uniform
sellerstorefront-url is uniformly distributed Uniform
sellerratings is uniformly distributed Uniform
sellerdetails is uniformly distributed Uniform
seller business name is uniformly distributed Uniform
businessaddress is uniformly distributed Uniform
Sample brand name is uniformly distributed Uniform
Sample Brand URL is uniformly distributed Uniform
seller_email_address1 is uniformly distributed Uniform
seller_email_address2 is uniformly distributed Uniform
df_index has unique values Unique
sellerlink has unique values Unique
sellerlink-url has unique values Unique
sellerstorefront-url has unique values Unique
seller_email_address is an unsupported type, check if it needs cleaning or further analysis Unsupported
Count of seller brands has 125 (20.8%) zeros Zeros
Max % of negative seller ratings - last 30 days has 416 (69.1%) zeros Zeros
Max % of negative seller ratings - last 90 days has 316 (52.5%) zeros Zeros
Max % of negative seller ratings - last 12 months has 178 (29.6%) zeros Zeros
Hero Product 1 #ratings has 127 (21.1%) zeros Zeros
Hero Product 2 #ratings has 136 (22.6%) zeros Zeros

Reproduction

Analysis started2021-06-26 14:12:58.038851
Analysis finished2021-06-26 14:13:19.552746
Duration21.51 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

df_index
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct602
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean646.0348837
Minimum0
Maximum1828
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile60.1
Q1251.25
median636
Q3877.75
95-th percentile1720.95
Maximum1828
Range1828
Interquartile range (IQR)626.5

Descriptive statistics

Standard deviation445.2772852
Coefficient of variation (CV)0.6892465041
Kurtosis0.3117218786
Mean646.0348837
Median Absolute Deviation (MAD)306
Skewness0.7759292934
Sum388913
Variance198271.8607
MonotonicityStrictly increasing
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10221
 
0.2%
3131
 
0.2%
3101
 
0.2%
3091
 
0.2%
3081
 
0.2%
3061
 
0.2%
13261
 
0.2%
3011
 
0.2%
3001
 
0.2%
13111
 
0.2%
Other values (592)592
98.3%
ValueCountFrequency (%)
01
0.2%
11
0.2%
51
0.2%
141
0.2%
191
0.2%
201
0.2%
211
0.2%
221
0.2%
231
0.2%
241
0.2%
ValueCountFrequency (%)
18281
0.2%
18151
0.2%
18141
0.2%
18131
0.2%
18081
0.2%
17981
0.2%
17851
0.2%
17841
0.2%
17811
0.2%
17801
0.2%

Date Added
Date

CONSTANT
REJECTED

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2020-11-15 00:00:00
Maximum2020-11-15 00:00:00
Histogram with fixed size bins (bins=1)

category
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Garden
602 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters3612
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGarden
2nd rowGarden
3rd rowGarden
4th rowGarden
5th rowGarden

Common Values

ValueCountFrequency (%)
Garden602
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
garden602
100.0%

Most occurring characters

ValueCountFrequency (%)
G602
16.7%
a602
16.7%
r602
16.7%
d602
16.7%
e602
16.7%
n602
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3010
83.3%
Uppercase Letter602
 
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a602
20.0%
r602
20.0%
d602
20.0%
e602
20.0%
n602
20.0%
Uppercase Letter
ValueCountFrequency (%)
G602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3612
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
G602
16.7%
a602
16.7%
r602
16.7%
d602
16.7%
e602
16.7%
n602
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII3612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
G602
16.7%
a602
16.7%
r602
16.7%
d602
16.7%
e602
16.7%
n602
16.7%

sellerlink
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct602
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Seller 1058
 
1
Seller 41
 
1
Seller 90
 
1
Seller 682
 
1
Seller 1065
 
1
Other values (597)
597 

Length

Max length11
Median length10
Mean length10.05813953
Min length8

Characters and Unicode

Total characters6055
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique602 ?
Unique (%)100.0%

Sample

1st rowSeller 1
2nd rowSeller 2
3rd rowSeller 6
4th rowSeller 15
5th rowSeller 20

Common Values

ValueCountFrequency (%)
Seller 10581
 
0.2%
Seller 411
 
0.2%
Seller 901
 
0.2%
Seller 6821
 
0.2%
Seller 10651
 
0.2%
Seller 17271
 
0.2%
Seller 9051
 
0.2%
Seller 4921
 
0.2%
Seller 8421
 
0.2%
Seller 5351
 
0.2%
Other values (592)592
98.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
seller602
50.0%
3241
 
0.1%
2651
 
0.1%
10081
 
0.1%
15821
 
0.1%
8321
 
0.1%
17441
 
0.1%
4921
 
0.1%
6501
 
0.1%
7081
 
0.1%
Other values (593)593
49.3%

Most occurring characters

ValueCountFrequency (%)
e1204
19.9%
l1204
19.9%
S602
9.9%
r602
9.9%
602
9.9%
1281
 
4.6%
7211
 
3.5%
8195
 
3.2%
5191
 
3.2%
2177
 
2.9%
Other values (5)786
13.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter3010
49.7%
Decimal Number1841
30.4%
Uppercase Letter602
 
9.9%
Space Separator602
 
9.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1281
15.3%
7211
11.5%
8195
10.6%
5191
10.4%
2177
9.6%
6167
9.1%
9165
9.0%
3164
8.9%
4147
8.0%
0143
7.8%
Lowercase Letter
ValueCountFrequency (%)
e1204
40.0%
l1204
40.0%
r602
20.0%
Uppercase Letter
ValueCountFrequency (%)
S602
100.0%
Space Separator
ValueCountFrequency (%)
602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin3612
59.7%
Common2443
40.3%

Most frequent character per script

Common
ValueCountFrequency (%)
602
24.6%
1281
11.5%
7211
 
8.6%
8195
 
8.0%
5191
 
7.8%
2177
 
7.2%
6167
 
6.8%
9165
 
6.8%
3164
 
6.7%
4147
 
6.0%
Latin
ValueCountFrequency (%)
e1204
33.3%
l1204
33.3%
S602
16.7%
r602
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII6055
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1204
19.9%
l1204
19.9%
S602
9.9%
r602
9.9%
602
9.9%
1281
 
4.6%
7211
 
3.5%
8195
 
3.2%
5191
 
3.2%
2177
 
2.9%
Other values (5)786
13.0%

sellerlink-url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct602
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Seller 165-link
 
1
Seller 187-link
 
1
Seller 951-link
 
1
Seller 844-link
 
1
Seller 939-link
 
1
Other values (597)
597 

Length

Max length16
Median length15
Mean length15.05813953
Min length13

Characters and Unicode

Total characters9065
Distinct characters19
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique602 ?
Unique (%)100.0%

Sample

1st rowSeller 1-link
2nd rowSeller 2-link
3rd rowSeller 6-link
4th rowSeller 15-link
5th rowSeller 20-link

Common Values

ValueCountFrequency (%)
Seller 165-link1
 
0.2%
Seller 187-link1
 
0.2%
Seller 951-link1
 
0.2%
Seller 844-link1
 
0.2%
Seller 939-link1
 
0.2%
Seller 265-link1
 
0.2%
Seller 323-link1
 
0.2%
Seller 365-link1
 
0.2%
Seller 715-link1
 
0.2%
Seller 984-link1
 
0.2%
Other values (592)592
98.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
seller602
50.0%
564-link1
 
0.1%
820-link1
 
0.1%
620-link1
 
0.1%
221-link1
 
0.1%
672-link1
 
0.1%
778-link1
 
0.1%
558-link1
 
0.1%
853-link1
 
0.1%
430-link1
 
0.1%
Other values (593)593
49.3%

Most occurring characters

ValueCountFrequency (%)
l1806
19.9%
e1204
13.3%
S602
 
6.6%
r602
 
6.6%
602
 
6.6%
-602
 
6.6%
i602
 
6.6%
n602
 
6.6%
k602
 
6.6%
1281
 
3.1%
Other values (9)1560
17.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5418
59.8%
Decimal Number1841
 
20.3%
Uppercase Letter602
 
6.6%
Space Separator602
 
6.6%
Dash Punctuation602
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1281
15.3%
7211
11.5%
8195
10.6%
5191
10.4%
2177
9.6%
6167
9.1%
9165
9.0%
3164
8.9%
4147
8.0%
0143
7.8%
Lowercase Letter
ValueCountFrequency (%)
l1806
33.3%
e1204
22.2%
r602
 
11.1%
i602
 
11.1%
n602
 
11.1%
k602
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
S602
100.0%
Space Separator
ValueCountFrequency (%)
602
100.0%
Dash Punctuation
ValueCountFrequency (%)
-602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin6020
66.4%
Common3045
33.6%

Most frequent character per script

Common
ValueCountFrequency (%)
602
19.8%
-602
19.8%
1281
9.2%
7211
 
6.9%
8195
 
6.4%
5191
 
6.3%
2177
 
5.8%
6167
 
5.5%
9165
 
5.4%
3164
 
5.4%
Other values (2)290
9.5%
Latin
ValueCountFrequency (%)
l1806
30.0%
e1204
20.0%
S602
 
10.0%
r602
 
10.0%
i602
 
10.0%
n602
 
10.0%
k602
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII9065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l1806
19.9%
e1204
13.3%
S602
 
6.6%
r602
 
6.6%
602
 
6.6%
-602
 
6.6%
i602
 
6.6%
n602
 
6.6%
k602
 
6.6%
1281
 
3.1%
Other values (9)1560
17.2%

sellerstorefront-url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct602
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Seller 66-storefrontlink
 
1
Seller 1526-storefrontlink
 
1
Seller 1541-storefrontlink
 
1
Seller 435-storefrontlink
 
1
Seller 589-storefrontlink
 
1
Other values (597)
597 

Length

Max length26
Median length25
Mean length25.05813953
Min length23

Characters and Unicode

Total characters15085
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique602 ?
Unique (%)100.0%

Sample

1st rowSeller 1-storefrontlink
2nd rowSeller 2-storefrontlink
3rd rowSeller 6-storefrontlink
4th rowSeller 15-storefrontlink
5th rowSeller 20-storefrontlink

Common Values

ValueCountFrequency (%)
Seller 66-storefrontlink1
 
0.2%
Seller 1526-storefrontlink1
 
0.2%
Seller 1541-storefrontlink1
 
0.2%
Seller 435-storefrontlink1
 
0.2%
Seller 589-storefrontlink1
 
0.2%
Seller 475-storefrontlink1
 
0.2%
Seller 158-storefrontlink1
 
0.2%
Seller 979-storefrontlink1
 
0.2%
Seller 787-storefrontlink1
 
0.2%
Seller 1525-storefrontlink1
 
0.2%
Other values (592)592
98.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
seller602
50.0%
577-storefrontlink1
 
0.1%
868-storefrontlink1
 
0.1%
781-storefrontlink1
 
0.1%
419-storefrontlink1
 
0.1%
894-storefrontlink1
 
0.1%
192-storefrontlink1
 
0.1%
556-storefrontlink1
 
0.1%
553-storefrontlink1
 
0.1%
218-storefrontlink1
 
0.1%
Other values (593)593
49.3%

Most occurring characters

ValueCountFrequency (%)
e1806
12.0%
l1806
12.0%
r1806
12.0%
t1204
 
8.0%
o1204
 
8.0%
n1204
 
8.0%
S602
 
4.0%
602
 
4.0%
-602
 
4.0%
s602
 
4.0%
Other values (13)3647
24.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter11438
75.8%
Decimal Number1841
 
12.2%
Uppercase Letter602
 
4.0%
Space Separator602
 
4.0%
Dash Punctuation602
 
4.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1806
15.8%
l1806
15.8%
r1806
15.8%
t1204
10.5%
o1204
10.5%
n1204
10.5%
s602
 
5.3%
f602
 
5.3%
i602
 
5.3%
k602
 
5.3%
Decimal Number
ValueCountFrequency (%)
1281
15.3%
7211
11.5%
8195
10.6%
5191
10.4%
2177
9.6%
6167
9.1%
9165
9.0%
3164
8.9%
4147
8.0%
0143
7.8%
Uppercase Letter
ValueCountFrequency (%)
S602
100.0%
Space Separator
ValueCountFrequency (%)
602
100.0%
Dash Punctuation
ValueCountFrequency (%)
-602
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin12040
79.8%
Common3045
 
20.2%

Most frequent character per script

Common
ValueCountFrequency (%)
602
19.8%
-602
19.8%
1281
9.2%
7211
 
6.9%
8195
 
6.4%
5191
 
6.3%
2177
 
5.8%
6167
 
5.5%
9165
 
5.4%
3164
 
5.4%
Other values (2)290
9.5%
Latin
ValueCountFrequency (%)
e1806
15.0%
l1806
15.0%
r1806
15.0%
t1204
10.0%
o1204
10.0%
n1204
10.0%
S602
 
5.0%
s602
 
5.0%
f602
 
5.0%
i602
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII15085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1806
12.0%
l1806
12.0%
r1806
12.0%
t1204
 
8.0%
o1204
 
8.0%
n1204
 
8.0%
S602
 
4.0%
602
 
4.0%
-602
 
4.0%
s602
 
4.0%
Other values (13)3647
24.2%

sellerproductcount
Categorical

HIGH CARDINALITY
MISSING

Distinct235
Distinct (%)48.9%
Missing121
Missing (%)20.1%
Memory size4.8 KiB
1-16 of over 1,000 results
50 
1-16 of over 2,000 results
38 
1-16 of over 3,000 results
 
26
1-16 of over 10,000 results
 
24
1-16 of over 4,000 results
 
12
Other values (230)
331 

Length

Max length28
Median length19
Mean length22.18503119
Min length9

Characters and Unicode

Total characters10671
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)38.7%

Sample

1st row1-16 of over 100,000 results
2nd row1-16 of 28 results
3rd row1-16 of 919 results
4th row1-16 of 123 results
5th row1-16 of over 40,000 results

Common Values

ValueCountFrequency (%)
1-16 of over 1,000 results50
 
8.3%
1-16 of over 2,000 results38
 
6.3%
1-16 of over 3,000 results26
 
4.3%
1-16 of over 10,000 results24
 
4.0%
1-16 of over 4,000 results12
 
2.0%
1-16 of over 5,000 results11
 
1.8%
1-16 of over 8,000 results9
 
1.5%
1-16 of over 6,000 results8
 
1.3%
1-16 of over 100,000 results8
 
1.3%
1-16 of over 30,000 results8
 
1.3%
Other values (225)287
47.7%
(Missing)121
20.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
results481
22.5%
of473
22.1%
1-16473
22.1%
over228
10.7%
1,00050
 
2.3%
2,00038
 
1.8%
3,00026
 
1.2%
10,00024
 
1.1%
4,00012
 
0.6%
5,00011
 
0.5%
Other values (229)320
15.0%

Most occurring characters

ValueCountFrequency (%)
1655
15.5%
11114
10.4%
s962
 
9.0%
0800
 
7.5%
e709
 
6.6%
r709
 
6.6%
o701
 
6.6%
6549
 
5.1%
u481
 
4.5%
l481
 
4.5%
Other values (12)2510
23.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5225
49.0%
Decimal Number3090
29.0%
Space Separator1655
 
15.5%
Dash Punctuation473
 
4.4%
Other Punctuation228
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
11114
36.1%
0800
25.9%
6549
17.8%
2129
 
4.2%
3114
 
3.7%
591
 
2.9%
486
 
2.8%
870
 
2.3%
769
 
2.2%
968
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
s962
18.4%
e709
13.6%
r709
13.6%
o701
13.4%
u481
9.2%
l481
9.2%
t481
9.2%
f473
9.1%
v228
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
-473
100.0%
Space Separator
ValueCountFrequency (%)
1655
100.0%
Other Punctuation
ValueCountFrequency (%)
,228
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common5446
51.0%
Latin5225
49.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1655
30.4%
11114
20.5%
0800
14.7%
6549
 
10.1%
-473
 
8.7%
,228
 
4.2%
2129
 
2.4%
3114
 
2.1%
591
 
1.7%
486
 
1.6%
Other values (3)207
 
3.8%
Latin
ValueCountFrequency (%)
s962
18.4%
e709
13.6%
r709
13.6%
o701
13.4%
u481
9.2%
l481
9.2%
t481
9.2%
f473
9.1%
v228
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII10671
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1655
15.5%
11114
10.4%
s962
 
9.0%
0800
 
7.5%
e709
 
6.6%
r709
 
6.6%
o701
 
6.6%
6549
 
5.1%
u481
 
4.5%
l481
 
4.5%
Other values (12)2510
23.5%

sellerratings
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct472
Distinct (%)84.4%
Missing43
Missing (%)7.1%
Memory size4.8 KiB
100% positive lifetime (1 total ratings)
 
8
100% positive lifetime (2 total ratings)
 
8
100% positive in the last 12 months (16 ratings)
 
5
100% positive lifetime (4 total ratings)
 
5
0% positive lifetime (1 total ratings)
 
5
Other values (467)
528 

Length

Max length50
Median length48
Mean length46.27728086
Min length38

Characters and Unicode

Total characters25869
Distinct characters29
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique424 ?
Unique (%)75.8%

Sample

1st row88% positive in the last 12 months (118 ratings)
2nd row90% positive in the last 12 months (566 ratings)
3rd row97% positive in the last 12 months (116 ratings)
4th row76% positive in the last 12 months (3721 ratings)
5th row92% positive in the last 12 months (181 ratings)

Common Values

ValueCountFrequency (%)
100% positive lifetime (1 total ratings)8
 
1.3%
100% positive lifetime (2 total ratings)8
 
1.3%
100% positive in the last 12 months (16 ratings)5
 
0.8%
100% positive lifetime (4 total ratings)5
 
0.8%
0% positive lifetime (1 total ratings)5
 
0.8%
100% positive in the last 12 months (11 ratings)5
 
0.8%
67% positive lifetime (3 total ratings)4
 
0.7%
90% positive lifetime (10 total ratings)4
 
0.7%
100% positive in the last 12 months (10 ratings)4
 
0.7%
91% positive in the last 12 months (11 ratings)4
 
0.7%
Other values (462)507
84.2%
(Missing)43
 
7.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
ratings559
11.9%
positive559
11.9%
12459
9.7%
the453
9.6%
in453
9.6%
last453
9.6%
months453
9.6%
lifetime106
 
2.2%
total106
 
2.2%
10083
 
1.8%
Other values (315)1029
21.8%

Most occurring characters

ValueCountFrequency (%)
4154
16.1%
t2795
 
10.8%
i2342
 
9.1%
s2024
 
7.8%
n1465
 
5.7%
e1224
 
4.7%
o1118
 
4.3%
a1118
 
4.3%
h906
 
3.5%
1866
 
3.3%
Other values (19)7857
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter16558
64.0%
Space Separator4154
 
16.1%
Decimal Number3480
 
13.5%
Other Punctuation559
 
2.2%
Open Punctuation559
 
2.2%
Close Punctuation559
 
2.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t2795
16.9%
i2342
14.1%
s2024
12.2%
n1465
8.8%
e1224
7.4%
o1118
 
6.8%
a1118
 
6.8%
h906
 
5.5%
l665
 
4.0%
p559
 
3.4%
Other values (5)2342
14.1%
Decimal Number
ValueCountFrequency (%)
1866
24.9%
2668
19.2%
9469
13.5%
0311
 
8.9%
8245
 
7.0%
7198
 
5.7%
3193
 
5.5%
4188
 
5.4%
6176
 
5.1%
5166
 
4.8%
Other Punctuation
ValueCountFrequency (%)
%559
100.0%
Space Separator
ValueCountFrequency (%)
4154
100.0%
Open Punctuation
ValueCountFrequency (%)
(559
100.0%
Close Punctuation
ValueCountFrequency (%)
)559
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin16558
64.0%
Common9311
36.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
t2795
16.9%
i2342
14.1%
s2024
12.2%
n1465
8.8%
e1224
7.4%
o1118
 
6.8%
a1118
 
6.8%
h906
 
5.5%
l665
 
4.0%
p559
 
3.4%
Other values (5)2342
14.1%
Common
ValueCountFrequency (%)
4154
44.6%
1866
 
9.3%
2668
 
7.2%
%559
 
6.0%
(559
 
6.0%
)559
 
6.0%
9469
 
5.0%
0311
 
3.3%
8245
 
2.6%
7198
 
2.1%
Other values (4)723
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII25869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4154
16.1%
t2795
 
10.8%
i2342
 
9.1%
s2024
 
7.8%
n1465
 
5.7%
e1224
 
4.7%
o1118
 
4.3%
a1118
 
4.3%
h906
 
3.5%
1866
 
3.3%
Other values (19)7857
30.4%

sellerdetails
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct572
Distinct (%)99.3%
Missing26
Missing (%)4.3%
Memory size4.8 KiB
The European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/Please see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show
 
3
Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show
 
3
Toystreet Ltd is committed to providing each customer with the highest standard of customer service.
 
1
Impressum: Gesetzlicher Anbietererkennung: KOS24 GmbH Hengsener Str. 8 44309 Dortmund Telefon: +49 (0)1719352050 Email:   kos24@t-online.de KOS24 GmbH wird vertreten durch: Geschäftsführer: Josef Luig Registergericht: Amtsgericht Dortmund Handelsregister - Registernummer: HRB 29935 Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE317700766 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungs...
 
1
Impressum: Gesetzlicher Anbietererkennung: VIKING - GEAR Inhaber: Sven Orlinski Möhnestraße 36 59755 Arnsberg Telefon: +49 (0)151 70333650 Email:   info@viking-gear.de VIKING - GEAR wird vertreten durch: Geschäftsführer: Sven Orlinski Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE325588950 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungsverfahren vor Verbraucherschlichtungsstellen tei...
 
1
Other values (567)
567 

Length

Max length689
Median length503
Mean length356.6631944
Min length20

Characters and Unicode

Total characters205438
Distinct characters113
Distinct categories18 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique570 ?
Unique (%)99.0%

Sample

1st rowLohas Living Inc James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 Email Address:jadgemaello@gmail.com James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 EIN: 30-0961431 The European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/ Please see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/od...
2nd rowHerzlich Willkommen im Amazon Shop von 1a-Handelsagentur. Für Fragen stehen wir Ihnen gerne unter der 039932-829721 zur Verfügung. Sie können auch direkt eine E-Mail an info@1a-handelsagentur.de schreiben. Anschrift 1a-handelsagentur.de Andre Burmeister Lindenallee 2 17213 Malchow Kontakt Tel.: 039932 - 829721  Fax.: 039932 – 81417  E-Mail: info@1a-handelsagentur.de Internet: www.1a-handelsagentur.de Umsatzsteueridentnummer: DE 223758473 Wir berechnen Ihnen folgende Versandkosten:(DE) Deutschland 0,00 E...
3rd row7830jeff is committed to providing each customer with the highest standard of customer service.
4th rowImpressum Gesetzliche Anbieterkennung: Oliver Mills 9:PM An der Bundesstrasse 26 33829 Borgholzhausen Deutschland Telefon: 015140008562 E-Mail: webmaster@9pm-store.de USt-IdNr.: DE215752000 Wir sind seit 01.08.2015 Mitglied der Initiative "FairCommerce". Nähere Informationen hierzu finden Sie unter .fair-commerce.de. Alternative Streitbeilegung: Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/ Unter diesem L...
5th rowImpressum: ABC-Schnäppchenmarkt GmbH  Jösser Weg 10 32469 Petershagen-Windheim Deutschland  Tel.: 0570591155 Fax: 0570591156 E-Mail: abc-markt@web.de  Registergericht: Amtsgericht Bad Oeynhausen  Registernummer: HRB 10862  Geschäftsführer: Thomas Wiebke  Umsatzsteuer-Identifikationsnummer gemäß § 27 a Umsatzsteuergesetz: DE 213823102  Den anklickbaren Link zur Plattform der EU-Kommission zur Online Streitbeilegung erreichen Sie, indem Sie auf den Nachfolgenden Punkt "Mehr lesen" klicken Wir...

Common Values

ValueCountFrequency (%)
The European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/Please see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show3
 
0.5%
Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.show3
 
0.5%
Toystreet Ltd is committed to providing each customer with the highest standard of customer service.1
 
0.2%
Impressum: Gesetzlicher Anbietererkennung: KOS24 GmbH Hengsener Str. 8 44309 Dortmund Telefon: +49 (0)1719352050 Email:   kos24@t-online.de KOS24 GmbH wird vertreten durch: Geschäftsführer: Josef Luig Registergericht: Amtsgericht Dortmund Handelsregister - Registernummer: HRB 29935 Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE317700766 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungs...1
 
0.2%
Impressum: Gesetzlicher Anbietererkennung: VIKING - GEAR Inhaber: Sven Orlinski Möhnestraße 36 59755 Arnsberg Telefon: +49 (0)151 70333650 Email:   info@viking-gear.de VIKING - GEAR wird vertreten durch: Geschäftsführer: Sven Orlinski Umsatzsteuer- Identifikationsnummer gemäß §27a Umsatzsteuergesetz (UStG): DE325588950 Den klickbaren Link zur Online-Streitschlichtungsplattform finden sie unter "mehr lesen" Wir sind nicht bereit, an Streitbeilegungsverfahren vor Verbraucherschlichtungsstellen tei...1
 
0.2%
SL Handels GmbH Geschäftsführer Klaus Schmidt Dorfstraße 88 52538 Gangelt-Niederbusch Deutschland Telefon:02454 - 9028162 Fax:02454-9028163 E-Mail:info@sl-handelsgmbh.de Rechtsform: GmbH Redaktionelle Verantwortung: Klaus Schmidt, Dorfstr. 88, 52538 Gangelt  Handelsregisternummer: Amtsgericht Aachen HRB 13386 Umsatzsteuer-Identifikationsnummer: DE 246900663 Die Mehrwertsteuer wird auf meinen Rechnungen separat ausgewiesen. Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegun...1
 
0.2%
Lizzy Outlet is committed to providing each customer with the highest standard of customer service.1
 
0.2%
Impressum Gesetzliche Anbieterkennung: TipTopCarbon GmbH diese vertreten durch den Geschäftsführer Jerome Witzki Im Lindental 48 58135 Hagen Deutschland Telefon: 02331-9815210 E-Mail: der-folien-shop@web.de USt-IdNr.: DE293751665 eingetragen im Handelsregister des Amtsgerichtes Hagen Handelsregisternummer HRB 9608 WEEE-RegNr. DE86190570   Hinweis nach der ADR-Richtlinie / VSBG: Bei einer Streitigkeit über einen Verbrauchervertrag sind wir  zu einer Teilnahme an einem Streitbeilegungsverfa...1
 
0.2%
Wolldiscount24 GmbH, vertreten durch die Geschäftsführerin Sandra Silberbach Zechenring 24 91257 Pegnitz Handelsregister: Amtsgericht Bayreuth (HRB 7124)  Umsatzsteuer-Identifikationsnummer gemäß § 27 a Umsatzsteuergesetz: DE328661580 Tel: 01516-7173001 E-Mail: info@wolldiscount24.com Die Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/ Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungs...1
 
0.2%
TECH-FUN is committed to providing each customer with the highest standard of customer service.1
 
0.2%
Other values (562)562
93.4%
(Missing)26
 
4.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
die611
 
2.7%
customer382
 
1.7%
328
 
1.4%
sie300
 
1.3%
the248
 
1.1%
der245
 
1.1%
finden242
 
1.1%
e-mail240
 
1.1%
eine233
 
1.0%
für228
 
1.0%
Other values (6196)19672
86.6%

Most occurring characters

ValueCountFrequency (%)
22421
 
10.9%
e21658
 
10.5%
i11684
 
5.7%
r11349
 
5.5%
t11129
 
5.4%
n10865
 
5.3%
s8286
 
4.0%
a7031
 
3.4%
o5992
 
2.9%
l5412
 
2.6%
Other values (103)89611
43.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter135651
66.0%
Space Separator23857
 
11.6%
Uppercase Letter15365
 
7.5%
Decimal Number14514
 
7.1%
Other Punctuation8297
 
4.0%
Control4927
 
2.4%
Dash Punctuation2003
 
1.0%
Open Punctuation278
 
0.1%
Close Punctuation253
 
0.1%
Math Symbol182
 
0.1%
Other values (8)111
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e21658
16.0%
i11684
 
8.6%
r11349
 
8.4%
t11129
 
8.2%
n10865
 
8.0%
s8286
 
6.1%
a7031
 
5.2%
o5992
 
4.4%
l5412
 
4.0%
h5130
 
3.8%
Other values (22)37115
27.4%
Uppercase Letter
ValueCountFrequency (%)
S1699
 
11.1%
E1262
 
8.2%
D1170
 
7.6%
G906
 
5.9%
I896
 
5.8%
H859
 
5.6%
T856
 
5.6%
A804
 
5.2%
K779
 
5.1%
U712
 
4.6%
Other values (19)5422
35.3%
Other Punctuation
ValueCountFrequency (%)
.3403
41.0%
:2310
27.8%
/1210
 
14.6%
,534
 
6.4%
@337
 
4.1%
&136
 
1.6%
"132
 
1.6%
§89
 
1.1%
;64
 
0.8%
?43
 
0.5%
Other values (4)39
 
0.5%
Decimal Number
ValueCountFrequency (%)
01998
13.8%
21849
12.7%
11798
12.4%
91469
10.1%
41401
9.7%
31341
9.2%
51218
8.4%
71213
8.4%
81119
7.7%
61108
7.6%
Math Symbol
ValueCountFrequency (%)
+137
75.3%
=36
 
19.8%
|5
 
2.7%
>3
 
1.6%
<1
 
0.5%
Space Separator
ValueCountFrequency (%)
22421
94.0%
 1434
 
6.0%
 2
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
(254
91.4%
21
 
7.6%
[3
 
1.1%
Other Symbol
ValueCountFrequency (%)
©5
50.0%
®4
40.0%
°1
 
10.0%
Dash Punctuation
ValueCountFrequency (%)
-2000
99.9%
3
 
0.1%
Control
ValueCountFrequency (%)
4886
99.2%
41
 
0.8%
Close Punctuation
ValueCountFrequency (%)
)250
98.8%
]3
 
1.2%
Modifier Symbol
ValueCountFrequency (%)
´3
75.0%
`1
 
25.0%
Initial Punctuation
ValueCountFrequency (%)
17
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_73
100.0%
Currency Symbol
ValueCountFrequency (%)
3
100.0%
Format
ValueCountFrequency (%)
1
100.0%
Nonspacing Mark
ValueCountFrequency (%)
̈2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin151016
73.5%
Common54420
 
26.5%
Inherited2
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e21658
14.3%
i11684
 
7.7%
r11349
 
7.5%
t11129
 
7.4%
n10865
 
7.2%
s8286
 
5.5%
a7031
 
4.7%
o5992
 
4.0%
l5412
 
3.6%
h5130
 
3.4%
Other values (51)52480
34.8%
Common
ValueCountFrequency (%)
22421
41.2%
4886
 
9.0%
.3403
 
6.3%
:2310
 
4.2%
-2000
 
3.7%
01998
 
3.7%
21849
 
3.4%
11798
 
3.3%
91469
 
2.7%
 1434
 
2.6%
Other values (41)10852
19.9%
Inherited
ValueCountFrequency (%)
̈2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII202119
98.4%
Latin 1 Sup3269
 
1.6%
Punctuation43
 
< 0.1%
Currency Symbols3
 
< 0.1%
None2
 
< 0.1%
Diacriticals2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22421
 
11.1%
e21658
 
10.7%
i11684
 
5.8%
r11349
 
5.6%
t11129
 
5.5%
n10865
 
5.4%
s8286
 
4.1%
a7031
 
3.5%
o5992
 
3.0%
l5412
 
2.7%
Other values (80)86292
42.7%
Latin 1 Sup
ValueCountFrequency (%)
 1434
43.9%
ä684
20.9%
ü604
18.5%
ß273
 
8.4%
ö139
 
4.3%
§89
 
2.7%
Ö20
 
0.6%
Ü6
 
0.2%
©5
 
0.2%
é5
 
0.2%
Other values (5)10
 
0.3%
Punctuation
ValueCountFrequency (%)
21
48.8%
17
39.5%
3
 
7.0%
1
 
2.3%
1
 
2.3%
Currency Symbols
ValueCountFrequency (%)
3
100.0%
None
ValueCountFrequency (%)
 2
100.0%
Diacriticals
ValueCountFrequency (%)
̈2
100.0%

seller business name
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct546
Distinct (%)100.0%
Missing56
Missing (%)9.3%
Memory size4.8 KiB
Business Name:Harman Digital Ltd
 
1
Business Name:Stephan Sopper
 
1
Business Name:Pauli-Parts
 
1
Business Name:VOSS GmbH & Co. KG
 
1
Business Name:VOLTIAMO PAGINA DI RUSCINO EMANUELE
 
1
Other values (541)
541 

Length

Max length69
Median length32
Mean length34.36080586
Min length19

Characters and Unicode

Total characters18761
Distinct characters83
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique546 ?
Unique (%)100.0%

Sample

1st rowBusiness Name:Lohas Living Inc
2nd rowBusiness Name:1a-Handelsagentur
3rd rowBusiness Name:Oliver Mills
4th rowBusiness Name:ABC-Schnäppchenmarkt GmbH
5th rowBusiness Name:All Terrain Ireland

Common Values

ValueCountFrequency (%)
Business Name:Harman Digital Ltd1
 
0.2%
Business Name:Stephan Sopper1
 
0.2%
Business Name:Pauli-Parts1
 
0.2%
Business Name:VOSS GmbH & Co. KG1
 
0.2%
Business Name:VOLTIAMO PAGINA DI RUSCINO EMANUELE1
 
0.2%
Business Name:LUV Trading UG (haftungsbeschränkt)1
 
0.2%
Business Name:TOYMATIC1
 
0.2%
Business Name:Lights4fun Ltd1
 
0.2%
Business Name:Vitego GmbH1
 
0.2%
Business Name:VIP Plaza Japan Inc1
 
0.2%
Other values (536)536
89.0%
(Missing)56
 
9.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
business525
24.5%
gmbh172
 
8.0%
49
 
2.3%
ltd30
 
1.4%
limited25
 
1.2%
co22
 
1.0%
kg21
 
1.0%
ug19
 
0.9%
vat19
 
0.9%
und17
 
0.8%
Other values (1060)1243
58.0%

Most occurring characters

ValueCountFrequency (%)
s1920
 
10.2%
e1894
 
10.1%
1597
 
8.5%
a1090
 
5.8%
n1080
 
5.8%
i1013
 
5.4%
m867
 
4.6%
u745
 
4.0%
N621
 
3.3%
B599
 
3.2%
Other values (73)7335
39.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter12099
64.5%
Uppercase Letter3985
 
21.2%
Space Separator1597
 
8.5%
Other Punctuation748
 
4.0%
Decimal Number217
 
1.2%
Dash Punctuation80
 
0.4%
Open Punctuation15
 
0.1%
Close Punctuation15
 
0.1%
Math Symbol3
 
< 0.1%
Modifier Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s1920
15.9%
e1894
15.7%
a1090
9.0%
n1080
8.9%
i1013
8.4%
m867
7.2%
u745
 
6.2%
r557
 
4.6%
t443
 
3.7%
o380
 
3.1%
Other values (22)2110
17.4%
Uppercase Letter
ValueCountFrequency (%)
N621
15.6%
B599
15.0%
G301
 
7.6%
H249
 
6.2%
T238
 
6.0%
L196
 
4.9%
S175
 
4.4%
A166
 
4.2%
K153
 
3.8%
E145
 
3.6%
Other values (17)1142
28.7%
Decimal Number
ValueCountFrequency (%)
236
16.6%
027
12.4%
123
10.6%
423
10.6%
920
9.2%
319
8.8%
719
8.8%
818
8.3%
616
7.4%
516
7.4%
Other Punctuation
ValueCountFrequency (%)
:546
73.0%
.127
 
17.0%
&49
 
6.6%
,22
 
2.9%
'2
 
0.3%
/1
 
0.1%
!1
 
0.1%
Space Separator
ValueCountFrequency (%)
1597
100.0%
Dash Punctuation
ValueCountFrequency (%)
-80
100.0%
Math Symbol
ValueCountFrequency (%)
+3
100.0%
Open Punctuation
ValueCountFrequency (%)
(15
100.0%
Close Punctuation
ValueCountFrequency (%)
)15
100.0%
Modifier Symbol
ValueCountFrequency (%)
`1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin16084
85.7%
Common2677
 
14.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s1920
 
11.9%
e1894
 
11.8%
a1090
 
6.8%
n1080
 
6.7%
i1013
 
6.3%
m867
 
5.4%
u745
 
4.6%
N621
 
3.9%
B599
 
3.7%
r557
 
3.5%
Other values (49)5698
35.4%
Common
ValueCountFrequency (%)
1597
59.7%
:546
 
20.4%
.127
 
4.7%
-80
 
3.0%
&49
 
1.8%
236
 
1.3%
027
 
1.0%
123
 
0.9%
423
 
0.9%
,22
 
0.8%
Other values (14)147
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII18698
99.7%
Latin 1 Sup63
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s1920
 
10.3%
e1894
 
10.1%
1597
 
8.5%
a1090
 
5.8%
n1080
 
5.8%
i1013
 
5.4%
m867
 
4.6%
u745
 
4.0%
N621
 
3.3%
B599
 
3.2%
Other values (66)7272
38.9%
Latin 1 Sup
ValueCountFrequency (%)
ä26
41.3%
ü17
27.0%
ö12
19.0%
ß5
 
7.9%
á1
 
1.6%
é1
 
1.6%
Ö1
 
1.6%

businessaddress
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct527
Distinct (%)100.0%
Missing75
Missing (%)12.5%
Memory size4.8 KiB
Rykestr. 47Berlin10405DE
 
1
unit 17,9/f towera,new mandarin plaza,no.14 science museum road,tsimshatsuikowloonhongkongHK
 
1
PRINTED GUITAR PICKS LTD UNIT 18D NUMBER ONE INDUSTRIAL ESTAmedomsley road workshopsconsettcounty durhamDH8 6SYGB
 
1
Blegistrasse 25BaarZG6340CH
 
1
104Tachbrook RoadFelthamLondonTW14 9NXGB
 
1
Other values (522)
522 

Length

Max length118
Median length40
Mean length43.51043643
Min length21

Characters and Unicode

Total characters22930
Distinct characters88
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique527 ?
Unique (%)100.0%

Sample

1st row411 THEODORE FREMD AVESTE 206 SOUTHRyeNY10580-1410US
2nd row1a HandelsagenturLindenallee 2MalchowMecklenburg17213DE
3rd rowKaiserstr.12Borgholzhausen33829DE
4th rowJösser Weg10Petershagen32469DE
5th rowWEXFORDGOREY46 MAIN STY25T2N4IE

Common Values

ValueCountFrequency (%)
Rykestr. 47Berlin10405DE1
 
0.2%
unit 17,9/f towera,new mandarin plaza,no.14 science museum road,tsimshatsuikowloonhongkongHK1
 
0.2%
PRINTED GUITAR PICKS LTD UNIT 18D NUMBER ONE INDUSTRIAL ESTAmedomsley road workshopsconsettcounty durhamDH8 6SYGB1
 
0.2%
Blegistrasse 25BaarZG6340CH1
 
0.2%
104Tachbrook RoadFelthamLondonTW14 9NXGB1
 
0.2%
Theemsweg 99SpijkenisseNederland3201LTNL1
 
0.2%
Nippenburg15 + 16Schwieberdingen71701DE1
 
0.2%
Neuer Weg 35 AGelnhausen63571DE1
 
0.2%
Gundelsheimer Str 1414Theilenhofen91741DE1
 
0.2%
ROOM 517 NEW CITY CENTRE2 LEI YUE MUN ROAD KWUN TONGKLHONG KONGHK1
 
0.2%
Other values (517)517
85.9%
(Missing)75
 
12.5%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
str23
 
1.3%
via20
 
1.2%
am18
 
1.0%
unit15
 
0.9%
straße14
 
0.8%
13
 
0.7%
industrial9
 
0.5%
de8
 
0.5%
im6
 
0.3%
der6
 
0.3%
Other values (1470)1606
92.4%

Most occurring characters

ValueCountFrequency (%)
e1937
 
8.4%
r1345
 
5.9%
1211
 
5.3%
n1093
 
4.8%
a1072
 
4.7%
s839
 
3.7%
t818
 
3.6%
i710
 
3.1%
l624
 
2.7%
E614
 
2.7%
Other values (78)12667
55.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter12579
54.9%
Uppercase Letter4986
 
21.7%
Decimal Number3673
 
16.0%
Space Separator1211
 
5.3%
Other Punctuation252
 
1.1%
Dash Punctuation202
 
0.9%
Open Punctuation13
 
0.1%
Close Punctuation13
 
0.1%
Math Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e1937
15.4%
r1345
10.7%
n1093
 
8.7%
a1072
 
8.5%
s839
 
6.7%
t818
 
6.5%
i710
 
5.6%
l624
 
5.0%
o582
 
4.6%
h499
 
4.0%
Other values (26)3060
24.3%
Uppercase Letter
ValueCountFrequency (%)
E614
 
12.3%
D511
 
10.2%
S394
 
7.9%
N297
 
6.0%
A287
 
5.8%
B283
 
5.7%
R273
 
5.5%
H230
 
4.6%
L228
 
4.6%
T212
 
4.3%
Other values (19)1657
33.2%
Decimal Number
ValueCountFrequency (%)
1565
15.4%
2459
12.5%
0395
10.8%
3370
10.1%
4369
10.0%
5343
9.3%
6311
8.5%
7305
8.3%
9296
8.1%
8260
7.1%
Other Punctuation
ValueCountFrequency (%)
.160
63.5%
,47
 
18.7%
/29
 
11.5%
&7
 
2.8%
'6
 
2.4%
:1
 
0.4%
1
 
0.4%
;1
 
0.4%
Space Separator
ValueCountFrequency (%)
1211
100.0%
Dash Punctuation
ValueCountFrequency (%)
-202
100.0%
Open Punctuation
ValueCountFrequency (%)
(13
100.0%
Close Punctuation
ValueCountFrequency (%)
)13
100.0%
Math Symbol
ValueCountFrequency (%)
+1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin17565
76.6%
Common5365
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e1937
 
11.0%
r1345
 
7.7%
n1093
 
6.2%
a1072
 
6.1%
s839
 
4.8%
t818
 
4.7%
i710
 
4.0%
l624
 
3.6%
E614
 
3.5%
o582
 
3.3%
Other values (55)7931
45.2%
Common
ValueCountFrequency (%)
1211
22.6%
1565
10.5%
2459
 
8.6%
0395
 
7.4%
3370
 
6.9%
4369
 
6.9%
5343
 
6.4%
6311
 
5.8%
7305
 
5.7%
9296
 
5.5%
Other values (13)741
13.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII22716
99.1%
Latin 1 Sup212
 
0.9%
Latin Ext A1
 
< 0.1%
None1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e1937
 
8.5%
r1345
 
5.9%
1211
 
5.3%
n1093
 
4.8%
a1072
 
4.7%
s839
 
3.7%
t818
 
3.6%
i710
 
3.1%
l624
 
2.7%
E614
 
2.7%
Other values (64)12453
54.8%
Latin 1 Sup
ValueCountFrequency (%)
ß90
42.5%
ü54
25.5%
ö39
18.4%
ä14
 
6.6%
é5
 
2.4%
í2
 
0.9%
Ö2
 
0.9%
à2
 
0.9%
Ñ1
 
0.5%
á1
 
0.5%
Other values (2)2
 
0.9%
Latin Ext A
ValueCountFrequency (%)
ł1
100.0%
None
ValueCountFrequency (%)
1
100.0%

Count of seller brands
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct17
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.513289037
Minimum0
Maximum16
Zeros125
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q11
median14
Q315
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)14

Descriptive statistics

Standard deviation6.736593105
Coefficient of variation (CV)0.7081245066
Kurtosis-1.631026183
Mean9.513289037
Median Absolute Deviation (MAD)2
Skewness-0.4509972373
Sum5727
Variance45.38168667
MonotonicityNot monotonic
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
15135
22.4%
16130
21.6%
0125
20.8%
1450
 
8.3%
132
 
5.3%
228
 
4.7%
1321
 
3.5%
313
 
2.2%
412
 
2.0%
79
 
1.5%
Other values (7)47
 
7.8%
ValueCountFrequency (%)
0125
20.8%
132
 
5.3%
228
 
4.7%
313
 
2.2%
412
 
2.0%
57
 
1.2%
66
 
1.0%
79
 
1.5%
86
 
1.0%
98
 
1.3%
ValueCountFrequency (%)
16130
21.6%
15135
22.4%
1450
 
8.3%
1321
 
3.5%
128
 
1.3%
114
 
0.7%
108
 
1.3%
98
 
1.3%
86
 
1.0%
79
 
1.5%

Max % of negative seller ratings - last 30 days
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct32
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.310631229
Minimum0
Maximum100
Zeros416
Zeros (%)69.1%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile29.95
Maximum100
Range100
Interquartile range (IQR)3

Descriptive statistics

Standard deviation14.62685698
Coefficient of variation (CV)2.754259587
Kurtosis23.23367523
Mean5.310631229
Median Absolute Deviation (MAD)0
Skewness4.484084583
Sum3197
Variance213.944945
MonotonicityNot monotonic
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0416
69.1%
215
 
2.5%
315
 
2.5%
513
 
2.2%
713
 
2.2%
5012
 
2.0%
612
 
2.0%
1111
 
1.8%
410
 
1.7%
259
 
1.5%
Other values (22)76
 
12.6%
ValueCountFrequency (%)
0416
69.1%
17
 
1.2%
215
 
2.5%
315
 
2.5%
410
 
1.7%
513
 
2.2%
612
 
2.0%
713
 
2.2%
88
 
1.3%
94
 
0.7%
ValueCountFrequency (%)
1008
1.3%
671
 
0.2%
5012
2.0%
401
 
0.2%
338
1.3%
301
 
0.2%
291
 
0.2%
271
 
0.2%
259
1.5%
231
 
0.2%

Max % of negative seller ratings - last 90 days
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct35
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.735880399
Minimum0
Maximum100
Zeros316
Zeros (%)52.5%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36
95-th percentile25
Maximum100
Range100
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.61097197
Coefficient of variation (CV)2.198611388
Kurtosis27.83683675
Mean5.735880399
Median Absolute Deviation (MAD)0
Skewness4.65486955
Sum3453
Variance159.0366139
MonotonicityNot monotonic
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0316
52.5%
334
 
5.6%
429
 
4.8%
221
 
3.5%
520
 
3.3%
118
 
3.0%
815
 
2.5%
915
 
2.5%
614
 
2.3%
714
 
2.3%
Other values (25)106
 
17.6%
ValueCountFrequency (%)
0316
52.5%
118
 
3.0%
221
 
3.5%
334
 
5.6%
429
 
4.8%
520
 
3.3%
614
 
2.3%
714
 
2.3%
815
 
2.5%
915
 
2.5%
ValueCountFrequency (%)
1005
0.8%
751
 
0.2%
671
 
0.2%
561
 
0.2%
504
0.7%
402
 
0.3%
337
1.2%
311
 
0.2%
293
0.5%
271
 
0.2%

Max % of negative seller ratings - last 12 months
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct39
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.303986711
Minimum0
Maximum100
Zeros178
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38
95-th percentile27
Maximum100
Range100
Interquartile range (IQR)8

Descriptive statistics

Standard deviation13.99924947
Coefficient of variation (CV)1.916658672
Kurtosis23.7255726
Mean7.303986711
Median Absolute Deviation (MAD)3
Skewness4.409265484
Sum4397
Variance195.9789857
MonotonicityNot monotonic
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0178
29.6%
363
 
10.5%
248
 
8.0%
140
 
6.6%
438
 
6.3%
631
 
5.1%
525
 
4.2%
722
 
3.7%
818
 
3.0%
917
 
2.8%
Other values (29)122
20.3%
ValueCountFrequency (%)
0178
29.6%
140
 
6.6%
248
 
8.0%
363
 
10.5%
438
 
6.3%
525
 
4.2%
631
 
5.1%
722
 
3.7%
818
 
3.0%
917
 
2.8%
ValueCountFrequency (%)
1007
1.2%
911
 
0.2%
601
 
0.2%
541
 
0.2%
506
1.0%
451
 
0.2%
431
 
0.2%
421
 
0.2%
401
 
0.2%
338
1.3%

Hero Product 1 #ratings
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct390
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4110.5299
Minimum0
Maximum86856
Zeros127
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q15
median456.5
Q32980.25
95-th percentile19244
Maximum86856
Range86856
Interquartile range (IQR)2975.25

Descriptive statistics

Standard deviation10315.68045
Coefficient of variation (CV)2.509574362
Kurtosis24.77255006
Mean4110.5299
Median Absolute Deviation (MAD)456.5
Skewness4.598684226
Sum2474539
Variance106413263.2
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0127
 
21.1%
111
 
1.8%
58
 
1.3%
35
 
0.8%
105
 
0.8%
183
 
0.5%
3913
 
0.5%
406843
 
0.5%
185603
 
0.5%
513
 
0.5%
Other values (380)431
71.6%
ValueCountFrequency (%)
0127
21.1%
111
 
1.8%
23
 
0.5%
35
 
0.8%
42
 
0.3%
58
 
1.3%
63
 
0.5%
72
 
0.3%
81
 
0.2%
92
 
0.3%
ValueCountFrequency (%)
868561
 
0.2%
777141
 
0.2%
716731
 
0.2%
716701
 
0.2%
667762
0.3%
603841
 
0.2%
517551
 
0.2%
473401
 
0.2%
473371
 
0.2%
406843
0.5%

Hero Product 2 #ratings
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct380
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2271.29402
Minimum0
Maximum70732
Zeros136
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile0
Q12
median225.5
Q31734
95-th percentile10305
Maximum70732
Range70732
Interquartile range (IQR)1732

Descriptive statistics

Standard deviation6414.703705
Coefficient of variation (CV)2.824250691
Kurtosis49.67361132
Mean2271.29402
Median Absolute Deviation (MAD)225.5
Skewness6.2975888
Sum1367319
Variance41148423.63
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0136
 
22.6%
111
 
1.8%
48
 
1.3%
25
 
0.8%
184
 
0.7%
64
 
0.7%
134
 
0.7%
214
 
0.7%
414
 
0.7%
1014
 
0.7%
Other values (370)418
69.4%
ValueCountFrequency (%)
0136
22.6%
111
 
1.8%
25
 
0.8%
32
 
0.3%
48
 
1.3%
52
 
0.3%
64
 
0.7%
72
 
0.3%
82
 
0.3%
92
 
0.3%
ValueCountFrequency (%)
707321
0.2%
583321
0.2%
577691
0.2%
517551
0.2%
377161
0.2%
351671
0.2%
324202
0.3%
301401
0.2%
207591
0.2%
196981
0.2%

Sample brand name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct486
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Visit the tesa Store
 
8
Visit the TFA Dostmann Store
 
8
Unbekannt
 
7
Visit the Weber Store
 
6
Makita
 
6
Other values (481)
567 

Length

Max length45
Median length10
Mean length13.3255814
Min length2

Characters and Unicode

Total characters8022
Distinct characters78
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique432 ?
Unique (%)71.8%

Sample

1st rowVisit the YAMAZAKI Store
2nd rowVisit the tesa Store
3rd rowStrata
4th rowUnbekannt
5th rowVisit the TFA Dostmann Store

Common Values

ValueCountFrequency (%)
Visit the tesa Store8
 
1.3%
Visit the TFA Dostmann Store8
 
1.3%
Unbekannt7
 
1.2%
Visit the Weber Store6
 
1.0%
Makita6
 
1.0%
Visit the Technoline Store5
 
0.8%
Neudorff5
 
0.8%
Oregon5
 
0.8%
(blank)5
 
0.8%
Reisenthel5
 
0.8%
Other values (476)542
90.0%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
the164
 
12.9%
store163
 
12.8%
visit161
 
12.6%
8
 
0.6%
dostmann8
 
0.6%
tfa8
 
0.6%
tesa8
 
0.6%
unbekannt7
 
0.5%
home7
 
0.5%
design6
 
0.5%
Other values (604)734
57.6%

Most occurring characters

ValueCountFrequency (%)
e804
 
10.0%
t766
 
9.5%
672
 
8.4%
i613
 
7.6%
o465
 
5.8%
r435
 
5.4%
a405
 
5.0%
s358
 
4.5%
n312
 
3.9%
S273
 
3.4%
Other values (68)2919
36.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5594
69.7%
Uppercase Letter1661
 
20.7%
Space Separator672
 
8.4%
Dash Punctuation33
 
0.4%
Decimal Number25
 
0.3%
Other Punctuation24
 
0.3%
Open Punctuation5
 
0.1%
Close Punctuation5
 
0.1%
Other Symbol2
 
< 0.1%
Modifier Symbol1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e804
14.4%
t766
13.7%
i613
11.0%
o465
8.3%
r435
7.8%
a405
7.2%
s358
 
6.4%
n312
 
5.6%
h245
 
4.4%
l239
 
4.3%
Other values (20)952
17.0%
Uppercase Letter
ValueCountFrequency (%)
S273
16.4%
V219
13.2%
T131
 
7.9%
A86
 
5.2%
R83
 
5.0%
M80
 
4.8%
O74
 
4.5%
P73
 
4.4%
N68
 
4.1%
W61
 
3.7%
Other values (18)513
30.9%
Decimal Number
ValueCountFrequency (%)
05
20.0%
44
16.0%
64
16.0%
23
12.0%
33
12.0%
83
12.0%
71
 
4.0%
11
 
4.0%
51
 
4.0%
Other Punctuation
ValueCountFrequency (%)
.11
45.8%
&4
 
16.7%
/4
 
16.7%
'4
 
16.7%
,1
 
4.2%
Space Separator
ValueCountFrequency (%)
672
100.0%
Dash Punctuation
ValueCountFrequency (%)
-33
100.0%
Open Punctuation
ValueCountFrequency (%)
(5
100.0%
Close Punctuation
ValueCountFrequency (%)
)5
100.0%
Other Symbol
ValueCountFrequency (%)
®2
100.0%
Modifier Symbol
ValueCountFrequency (%)
´1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin7255
90.4%
Common767
 
9.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e804
 
11.1%
t766
 
10.6%
i613
 
8.4%
o465
 
6.4%
r435
 
6.0%
a405
 
5.6%
s358
 
4.9%
n312
 
4.3%
S273
 
3.8%
h245
 
3.4%
Other values (48)2579
35.5%
Common
ValueCountFrequency (%)
672
87.6%
-33
 
4.3%
.11
 
1.4%
(5
 
0.7%
)5
 
0.7%
05
 
0.7%
&4
 
0.5%
/4
 
0.5%
'4
 
0.5%
44
 
0.5%
Other values (10)20
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII8006
99.8%
Latin 1 Sup16
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e804
 
10.0%
t766
 
9.6%
672
 
8.4%
i613
 
7.7%
o465
 
5.8%
r435
 
5.4%
a405
 
5.1%
s358
 
4.5%
n312
 
3.9%
S273
 
3.4%
Other values (60)2903
36.3%
Latin 1 Sup
ValueCountFrequency (%)
ö8
50.0%
®2
 
12.5%
ä1
 
6.2%
Ö1
 
6.2%
Ü1
 
6.2%
é1
 
6.2%
´1
 
6.2%
ü1
 
6.2%

Sample Brand URL
Categorical

HIGH CARDINALITY
UNIFORM

Distinct493
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
https://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln
 
8
https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln
 
8
https://www.amazon.de/-/en/Makita/b/ref=bl_dp_s_web_3200602031?ie=UTF8&node=3200602031&field-lbr_brands_browse-bin=Makita
 
6
https://www.amazon.de/-/en/stores/Weber/page/97CDA426-21A5-4BA8-9E0F-AFDA8004B64D?ref_=ast_bln
 
6
https://www.amazon.de/-/en/stores/Tetra/page/DCE34886-C391-4ADB-953C-11124A982133?ref_=ast_bln
 
5
Other values (488)
569 

Length

Max length181
Median length115
Mean length114.7807309
Min length7

Characters and Unicode

Total characters69098
Distinct characters74
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)73.1%

Sample

1st rowhttps://www.amazon.de/-/en/stores/YAMAZAKI/page/B9975298-FF1F-4EE2-BD7B-53AE47A44D8A?ref_=ast_bln
2nd rowhttps://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln
3rd rowhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Strata
4th rowhttps://www.amazon.de/-/en/Unbekannt/b/ref=bl_dp_s_web_19533614031?ie=UTF8&node=19533614031&field-lbr_brands_browse-bin=Unbekannt
5th rowhttps://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln

Common Values

ValueCountFrequency (%)
https://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_bln8
 
1.3%
https://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_bln8
 
1.3%
https://www.amazon.de/-/en/Makita/b/ref=bl_dp_s_web_3200602031?ie=UTF8&node=3200602031&field-lbr_brands_browse-bin=Makita6
 
1.0%
https://www.amazon.de/-/en/stores/Weber/page/97CDA426-21A5-4BA8-9E0F-AFDA8004B64D?ref_=ast_bln6
 
1.0%
https://www.amazon.de/-/en/stores/Tetra/page/DCE34886-C391-4ADB-953C-11124A982133?ref_=ast_bln5
 
0.8%
https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Neudorff5
 
0.8%
https://www.amazon.de/-/en/Unbekannt/b/ref=bl_dp_s_web_19533614031?ie=UTF8&node=19533614031&field-lbr_brands_browse-bin=Unbekannt5
 
0.8%
(blank)5
 
0.8%
https://www.amazon.de/-/en/stores/technoline/page/1BB6DB7A-30C4-4E27-87B2-2A680DAD187B?ref_=ast_bln5
 
0.8%
https://www.amazon.de/-/en/Oregon/b/ref=bl_dp_s_web_1691497031?ie=UTF8&node=1691497031&field-lbr_brands_browse-bin=Oregon4
 
0.7%
Other values (483)545
90.5%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
https://www.amazon.de/-/en/stores/tfa+dostmann+gmbh+%26+co+kg/page/eaf5f066-d2dc-42ab-8d1d-9e5898bca26d?ref_=ast_bln8
 
1.3%
https://www.amazon.de/-/en/stores/tesa/page/12e699e9-fa20-4bc9-a12b-8a9cde0c446c?ref_=ast_bln8
 
1.3%
https://www.amazon.de/-/en/stores/weber/page/97cda426-21a5-4ba8-9e0f-afda8004b64d?ref_=ast_bln6
 
1.0%
https://www.amazon.de/-/en/makita/b/ref=bl_dp_s_web_3200602031?ie=utf8&node=3200602031&field-lbr_brands_browse-bin=makita6
 
1.0%
https://www.amazon.de/-/en/unbekannt/b/ref=bl_dp_s_web_19533614031?ie=utf8&node=19533614031&field-lbr_brands_browse-bin=unbekannt5
 
0.8%
https://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=utf8&search-type=ss&index=garden-de&field-keywords=neudorff5
 
0.8%
https://www.amazon.de/-/en/stores/technoline/page/1bb6db7a-30c4-4e27-87b2-2a680dad187b?ref_=ast_bln5
 
0.8%
blank5
 
0.8%
https://www.amazon.de/-/en/stores/tetra/page/dce34886-c391-4adb-953c-11124a982133?ref_=ast_bln5
 
0.8%
https://www.amazon.de/-/en/stores/petromax/page/596bec72-cceb-44ec-9c41-dad254b2a788?ref_=ast_bln4
 
0.7%
Other values (483)545
90.5%

Most occurring characters

ValueCountFrequency (%)
e5673
 
8.2%
/4136
 
6.0%
s3234
 
4.7%
n2897
 
4.2%
d2754
 
4.0%
w2709
 
3.9%
a2697
 
3.9%
_2583
 
3.7%
b2429
 
3.5%
r2418
 
3.5%
Other values (64)37568
54.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter39349
56.9%
Decimal Number9379
 
13.6%
Other Punctuation7675
 
11.1%
Uppercase Letter5350
 
7.7%
Connector Punctuation2583
 
3.7%
Math Symbol2383
 
3.4%
Dash Punctuation2369
 
3.4%
Open Punctuation5
 
< 0.1%
Close Punctuation5
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e5673
14.4%
s3234
 
8.2%
n2897
 
7.4%
d2754
 
7.0%
w2709
 
6.9%
a2697
 
6.9%
b2429
 
6.2%
r2418
 
6.1%
t2174
 
5.5%
o1918
 
4.9%
Other values (16)10446
26.5%
Uppercase Letter
ValueCountFrequency (%)
F779
14.6%
T628
11.7%
A524
9.8%
U477
8.9%
C440
8.2%
B423
 
7.9%
E370
 
6.9%
D344
 
6.4%
S180
 
3.4%
M121
 
2.3%
Other values (16)1064
19.9%
Decimal Number
ValueCountFrequency (%)
11430
15.2%
01337
14.3%
81180
12.6%
31163
12.4%
4825
8.8%
9785
8.4%
6720
7.7%
2701
7.5%
7643
6.9%
5595
6.3%
Other Punctuation
ValueCountFrequency (%)
/4136
53.9%
.1210
 
15.8%
&1039
 
13.5%
:597
 
7.8%
?597
 
7.8%
%96
 
1.3%
Math Symbol
ValueCountFrequency (%)
=2072
86.9%
+311
 
13.1%
Dash Punctuation
ValueCountFrequency (%)
-2369
100.0%
Connector Punctuation
ValueCountFrequency (%)
_2583
100.0%
Open Punctuation
ValueCountFrequency (%)
(5
100.0%
Close Punctuation
ValueCountFrequency (%)
)5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin44699
64.7%
Common24399
35.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e5673
 
12.7%
s3234
 
7.2%
n2897
 
6.5%
d2754
 
6.2%
w2709
 
6.1%
a2697
 
6.0%
b2429
 
5.4%
r2418
 
5.4%
t2174
 
4.9%
o1918
 
4.3%
Other values (42)15796
35.3%
Common
ValueCountFrequency (%)
/4136
17.0%
_2583
10.6%
-2369
9.7%
=2072
 
8.5%
11430
 
5.9%
01337
 
5.5%
.1210
 
5.0%
81180
 
4.8%
31163
 
4.8%
&1039
 
4.3%
Other values (12)5880
24.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII69098
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e5673
 
8.2%
/4136
 
6.0%
s3234
 
4.7%
n2897
 
4.2%
d2754
 
4.0%
w2709
 
3.9%
a2697
 
3.9%
_2583
 
3.7%
b2429
 
3.5%
r2418
 
3.5%
Other values (64)37568
54.4%

country_code
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct20
Distinct (%)3.8%
Missing75
Missing (%)12.5%
Memory size4.8 KiB
DE
364 
GB
47 
IT
 
25
ES
 
15
US
 
14
Other values (15)
62 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters1054
Distinct characters19
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)1.1%

Sample

1st rowUS
2nd rowDE
3rd rowDE
4th rowDE
5th rowIE

Common Values

ValueCountFrequency (%)
DE364
60.5%
GB47
 
7.8%
IT25
 
4.2%
ES15
 
2.5%
US14
 
2.3%
NL12
 
2.0%
FR11
 
1.8%
HK10
 
1.7%
AT8
 
1.3%
PL5
 
0.8%
Other values (10)16
 
2.7%
(Missing)75
 
12.5%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
de364
69.1%
gb47
 
8.9%
it25
 
4.7%
es15
 
2.8%
us14
 
2.7%
nl12
 
2.3%
fr11
 
2.1%
hk10
 
1.9%
at8
 
1.5%
pl5
 
0.9%
Other values (10)16
 
3.0%

Most occurring characters

ValueCountFrequency (%)
E383
36.3%
D364
34.5%
B48
 
4.6%
G47
 
4.5%
T35
 
3.3%
I31
 
2.9%
S30
 
2.8%
L17
 
1.6%
N16
 
1.5%
U15
 
1.4%
Other values (9)68
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1054
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E383
36.3%
D364
34.5%
B48
 
4.6%
G47
 
4.5%
T35
 
3.3%
I31
 
2.9%
S30
 
2.8%
L17
 
1.6%
N16
 
1.5%
U15
 
1.4%
Other values (9)68
 
6.5%

Most occurring scripts

ValueCountFrequency (%)
Latin1054
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E383
36.3%
D364
34.5%
B48
 
4.6%
G47
 
4.5%
T35
 
3.3%
I31
 
2.9%
S30
 
2.8%
L17
 
1.6%
N16
 
1.5%
U15
 
1.4%
Other values (9)68
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII1054
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E383
36.3%
D364
34.5%
B48
 
4.6%
G47
 
4.5%
T35
 
3.3%
I31
 
2.9%
S30
 
2.8%
L17
 
1.6%
N16
 
1.5%
U15
 
1.4%
Other values (9)68
 
6.5%

seller_count
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct235
Distinct (%)48.9%
Missing121
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean6538.110187
Minimum3
Maximum200000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum3
5-th percentile36
Q1257
median898
Q33000
95-th percentile40000
Maximum200000
Range199997
Interquartile range (IQR)2743

Descriptive statistics

Standard deviation18662.72529
Coefficient of variation (CV)2.85445255
Kurtosis34.23370249
Mean6538.110187
Median Absolute Deviation (MAD)805
Skewness5.163668195
Sum3144831
Variance348297315.4
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100050
 
8.3%
200038
 
6.3%
300026
 
4.3%
1000024
 
4.0%
400012
 
2.0%
500011
 
1.8%
80009
 
1.5%
60008
 
1.3%
1000008
 
1.3%
300008
 
1.3%
Other values (225)287
47.7%
(Missing)121
20.1%
ValueCountFrequency (%)
31
0.2%
41
0.2%
51
0.2%
81
0.2%
91
0.2%
121
0.2%
151
0.2%
161
0.2%
171
0.2%
201
0.2%
ValueCountFrequency (%)
2000001
 
0.2%
1000008
 
1.3%
800002
 
0.3%
700001
 
0.2%
600003
 
0.5%
500006
 
1.0%
400006
 
1.0%
300008
 
1.3%
200007
 
1.2%
1000024
4.0%

seller_positive_rating_percentage
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct47
Distinct (%)8.4%
Missing43
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean90.26654741
Minimum0
Maximum100
Zeros5
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum0
5-th percentile67
Q189
median94
Q398
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)9

Descriptive statistics

Standard deviation14.25819795
Coefficient of variation (CV)0.1579566113
Kurtosis17.32966373
Mean90.26654741
Median Absolute Deviation (MAD)4
Skewness-3.699336591
Sum50459
Variance203.2962087
MonotonicityNot monotonic
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
10082
13.6%
9752
 
8.6%
9644
 
7.3%
9840
 
6.6%
9438
 
6.3%
9535
 
5.8%
9926
 
4.3%
9224
 
4.0%
9024
 
4.0%
9122
 
3.7%
Other values (37)172
28.6%
(Missing)43
 
7.1%
ValueCountFrequency (%)
05
0.8%
91
 
0.2%
251
 
0.2%
332
 
0.3%
401
 
0.2%
411
 
0.2%
421
 
0.2%
431
 
0.2%
441
 
0.2%
503
0.5%
ValueCountFrequency (%)
10082
13.6%
9926
 
4.3%
9840
6.6%
9752
8.6%
9644
7.3%
9535
5.8%
9438
6.3%
9320
 
3.3%
9224
 
4.0%
9122
 
3.7%

seller_positive_rating_count
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct305
Distinct (%)54.6%
Missing43
Missing (%)7.1%
Infinite0
Infinite (%)0.0%
Mean462.5152057
Minimum1
Maximum37124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB

Quantile statistics

Minimum1
5-th percentile3
Q121
median82
Q3280
95-th percentile1839.9
Maximum37124
Range37123
Interquartile range (IQR)259

Descriptive statistics

Standard deviation1824.115487
Coefficient of variation (CV)3.943903821
Kurtosis294.650359
Mean462.5152057
Median Absolute Deviation (MAD)71
Skewness15.24567215
Sum258546
Variance3327397.311
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1015
 
2.5%
113
 
2.2%
1113
 
2.2%
1610
 
1.7%
29
 
1.5%
158
 
1.3%
198
 
1.3%
48
 
1.3%
37
 
1.2%
287
 
1.2%
Other values (295)461
76.6%
(Missing)43
 
7.1%
ValueCountFrequency (%)
113
2.2%
29
1.5%
37
1.2%
48
1.3%
54
 
0.7%
64
 
0.7%
77
1.2%
82
 
0.3%
92
 
0.3%
1015
2.5%
ValueCountFrequency (%)
371241
0.2%
80631
0.2%
74651
0.2%
72421
0.2%
62041
0.2%
60861
0.2%
58261
0.2%
51501
0.2%
49191
0.2%
42041
0.2%

seller_email_address
Unsupported

REJECTED
UNSUPPORTED

Missing0
Missing (%)0.0%
Memory size4.8 KiB

seller_email_address1
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct144
Distinct (%)99.3%
Missing457
Missing (%)75.9%
Memory size4.8 KiB
ku.de
 
2
info@kaiser24.shop
 
1
info@lemodo.de
 
1
info@zoo-bue-pet.de
 
1
info@lotharjohn.de
 
1
Other values (139)
139 

Length

Max length40
Median length19
Mean length18.82758621
Min length3

Characters and Unicode

Total characters2730
Distinct characters46
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)98.6%

Sample

1st rowjadgemaello@gmail.com
2nd rowinfo@1a-ha.de
3rd rowinfo@itenga.de
4th rownils.holm@zierleyn.de
5th rowinfo@kabel-licht.de

Common Values

ValueCountFrequency (%)
ku.de2
 
0.3%
info@kaiser24.shop1
 
0.2%
info@lemodo.de1
 
0.2%
info@zoo-bue-pet.de1
 
0.2%
info@lotharjohn.de1
 
0.2%
service@living-zone.de1
 
0.2%
info@leotie.de1
 
0.2%
online@tooler.de1
 
0.2%
info@trendy-home.de1
 
0.2%
info@tozi-spall.de1
 
0.2%
Other values (134)134
 
22.3%
(Missing)457
75.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
ku.de2
 
1.4%
kathrin@salzlampe.de1
 
0.7%
info@vronis-ki.de1
 
0.7%
info@wasserflora.de1
 
0.7%
info@sl-ha.de1
 
0.7%
info@lemodo.de1
 
0.7%
info@zoo-bue-pet.de1
 
0.7%
info@lotharjohn.de1
 
0.7%
service@living-zone.de1
 
0.7%
info@leotie.de1
 
0.7%
Other values (134)134
92.4%

Most occurring characters

ValueCountFrequency (%)
e299
 
11.0%
o235
 
8.6%
n186
 
6.8%
i177
 
6.5%
a176
 
6.4%
.160
 
5.9%
d149
 
5.5%
@135
 
4.9%
t119
 
4.4%
r108
 
4.0%
Other values (36)986
36.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter2319
84.9%
Other Punctuation296
 
10.8%
Dash Punctuation60
 
2.2%
Decimal Number44
 
1.6%
Uppercase Letter11
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e299
12.9%
o235
 
10.1%
n186
 
8.0%
i177
 
7.6%
a176
 
7.6%
d149
 
6.4%
t119
 
5.1%
r108
 
4.7%
s100
 
4.3%
f98
 
4.2%
Other values (16)672
29.0%
Decimal Number
ValueCountFrequency (%)
213
29.5%
49
20.5%
78
18.2%
04
 
9.1%
13
 
6.8%
62
 
4.5%
32
 
4.5%
81
 
2.3%
91
 
2.3%
51
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
K3
27.3%
I3
27.3%
S2
18.2%
G1
 
9.1%
L1
 
9.1%
T1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
.160
54.1%
@135
45.6%
/1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
-60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2330
85.3%
Common400
 
14.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e299
12.8%
o235
 
10.1%
n186
 
8.0%
i177
 
7.6%
a176
 
7.6%
d149
 
6.4%
t119
 
5.1%
r108
 
4.6%
s100
 
4.3%
f98
 
4.2%
Other values (22)683
29.3%
Common
ValueCountFrequency (%)
.160
40.0%
@135
33.8%
-60
 
15.0%
213
 
3.2%
49
 
2.2%
78
 
2.0%
04
 
1.0%
13
 
0.8%
62
 
0.5%
32
 
0.5%
Other values (4)4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII2730
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e299
 
11.0%
o235
 
8.6%
n186
 
6.8%
i177
 
6.5%
a176
 
6.4%
.160
 
5.9%
d149
 
5.5%
@135
 
4.9%
t119
 
4.4%
r108
 
4.0%
Other values (36)986
36.1%

seller_email_address2
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING
UNIFORM

Distinct6
Distinct (%)100.0%
Missing596
Missing (%)99.0%
Memory size4.8 KiB
info@1a-ha.de
amazon@werkzeug-direkt.com
info@klaraseats.com
datenschutz@leuchtenzentrale.de
info@zurrosakuh.de

Length

Max length31
Median length22
Mean length22
Min length13

Characters and Unicode

Total characters132
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st rowinfo@1a-ha.de
2nd rowinfo@klaraseats.com
3rd rowdatenschutz@leuchtenzentrale.de
4th rowamazon@werkzeug-direkt.com
5th rowinfo@zurrosakuh.de

Common Values

ValueCountFrequency (%)
info@1a-ha.de1
 
0.2%
amazon@werkzeug-direkt.com1
 
0.2%
info@klaraseats.com1
 
0.2%
datenschutz@leuchtenzentrale.de1
 
0.2%
info@zurrosakuh.de1
 
0.2%
r.joormann@googlemail.com1
 
0.2%
(Missing)596
99.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
datenschutz@leuchtenzentrale.de1
16.7%
info@1a-ha.de1
16.7%
info@zurrosakuh.de1
16.7%
info@klaraseats.com1
16.7%
amazon@werkzeug-direkt.com1
16.7%
r.joormann@googlemail.com1
16.7%

Most occurring characters

ValueCountFrequency (%)
e13
 
9.8%
o12
 
9.1%
a12
 
9.1%
n9
 
6.8%
r8
 
6.1%
.7
 
5.3%
@6
 
4.5%
t6
 
4.5%
m6
 
4.5%
i5
 
3.8%
Other values (14)48
36.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter116
87.9%
Other Punctuation13
 
9.8%
Dash Punctuation2
 
1.5%
Decimal Number1
 
0.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e13
 
11.2%
o12
 
10.3%
a12
 
10.3%
n9
 
7.8%
r8
 
6.9%
t6
 
5.2%
m6
 
5.2%
i5
 
4.3%
d5
 
4.3%
l5
 
4.3%
Other values (10)35
30.2%
Other Punctuation
ValueCountFrequency (%)
.7
53.8%
@6
46.2%
Decimal Number
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
-2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin116
87.9%
Common16
 
12.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e13
 
11.2%
o12
 
10.3%
a12
 
10.3%
n9
 
7.8%
r8
 
6.9%
t6
 
5.2%
m6
 
5.2%
i5
 
4.3%
d5
 
4.3%
l5
 
4.3%
Other values (10)35
30.2%
Common
ValueCountFrequency (%)
.7
43.8%
@6
37.5%
-2
 
12.5%
11
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e13
 
9.8%
o12
 
9.1%
a12
 
9.1%
n9
 
6.8%
r8
 
6.1%
.7
 
5.3%
@6
 
4.5%
t6
 
4.5%
m6
 
4.5%
i5
 
3.8%
Other values (14)48
36.4%

seller_phone_number
Categorical

HIGH CARDINALITY

Distinct350
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
[]
228 
nan
 
26
["r. 9-n -n -n 84558", "Telefon:-n 08623 - 98728015", ":-n 08623 - 98728011", "r. 524/2013", " 15.02.2016"]
 
1
["r. 5-n 89290", "Telefon: 07343 919260", ": 07343 919259", " 209142648", " 18.12.2015"]
 
1
[" 28-n-n52222", "20195", "306202046"]
 
1
Other values (345)
345 

Length

Max length146
Median length51
Mean length43.78903654
Min length2

Characters and Unicode

Total characters26361
Distinct characters37
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique348 ?
Unique (%)57.8%

Sample

1st row[" 10022-6630", " +1208-964-6807", " 10022-6630", " +1208-964-6807", ":30-0961431"]
2nd row["er 039932-829721", "llee 2-n17213", "Tel.: 039932 - 829721", ".: 039932 – 81417", " 223758473"]
3rd row[]
4th row["e 26-n 33829", "Telefon: 015140008562", "215752000", "01.08.2015"]
5th row[" 10-n 32469", "Tel.: 0570591155", ": 0570591156", " 10862", " 213823102"]

Common Values

ValueCountFrequency (%)
[]228
37.9%
nan26
 
4.3%
["r. 9-n -n -n 84558", "Telefon:-n 08623 - 98728015", ":-n 08623 - 98728011", "r. 524/2013", " 15.02.2016"]1
 
0.2%
["r. 5-n 89290", "Telefon: 07343 919260", ": 07343 919259", " 209142648", " 18.12.2015"]1
 
0.2%
[" 28-n-n52222", "20195", "306202046"]1
 
0.2%
["r. 123-n-n45881", "Tel.: 0163 / 500 21 44", "221453557"]1
 
0.2%
[" 9-n 84555", "Telefon: 08638982790", ": 086389827919", "259391487", " 84555"]1
 
0.2%
["19716804", " 99415", "Telefon:02749/8628", ":02749/8725"]1
 
0.2%
["r. 2-n 84543", "Telefon: 08671 3361", "251275671", " 27.07.2015"]1
 
0.2%
["en-n0711 - 222 49 32 44"]1
 
0.2%
Other values (340)340
56.5%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
900
 
23.5%
telefon193
 
5.0%
r112
 
2.9%
4993
 
2.4%
tel80
 
2.1%
e74
 
1.9%
n44
 
1.1%
041
 
1.1%
nan26
 
0.7%
euernummer17
 
0.4%
Other values (1792)2254
58.8%

Most occurring characters

ValueCountFrequency (%)
3307
 
12.5%
"2940
 
11.2%
01779
 
6.7%
21632
 
6.2%
11590
 
6.0%
91398
 
5.3%
41270
 
4.8%
31263
 
4.8%
51135
 
4.3%
,1122
 
4.3%
Other values (27)8925
33.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number13267
50.3%
Other Punctuation5063
 
19.2%
Space Separator3307
 
12.5%
Lowercase Letter2429
 
9.2%
Close Punctuation656
 
2.5%
Open Punctuation652
 
2.5%
Dash Punctuation560
 
2.1%
Uppercase Letter306
 
1.2%
Math Symbol121
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e693
28.5%
n634
26.1%
l329
13.5%
o223
 
9.2%
f219
 
9.0%
r186
 
7.7%
m52
 
2.1%
u47
 
1.9%
a26
 
1.1%
h17
 
0.7%
Decimal Number
ValueCountFrequency (%)
01779
13.4%
21632
12.3%
11590
12.0%
91398
10.5%
41270
9.6%
31263
9.5%
51135
8.6%
71100
8.3%
61058
8.0%
81042
7.9%
Other Punctuation
ValueCountFrequency (%)
"2940
58.1%
,1122
 
22.2%
:529
 
10.4%
.289
 
5.7%
/183
 
3.6%
Open Punctuation
ValueCountFrequency (%)
[576
88.3%
(76
 
11.7%
Dash Punctuation
ValueCountFrequency (%)
-557
99.5%
3
 
0.5%
Math Symbol
ValueCountFrequency (%)
+120
99.2%
|1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
]576
87.8%
)80
 
12.2%
Uppercase Letter
ValueCountFrequency (%)
T304
99.3%
P2
 
0.7%
Space Separator
ValueCountFrequency (%)
3307
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common23626
89.6%
Latin2735
 
10.4%

Most frequent character per script

Common
ValueCountFrequency (%)
3307
14.0%
"2940
12.4%
01779
 
7.5%
21632
 
6.9%
11590
 
6.7%
91398
 
5.9%
41270
 
5.4%
31263
 
5.3%
51135
 
4.8%
,1122
 
4.7%
Other values (14)6190
26.2%
Latin
ValueCountFrequency (%)
e693
25.3%
n634
23.2%
l329
12.0%
T304
11.1%
o223
 
8.2%
f219
 
8.0%
r186
 
6.8%
m52
 
1.9%
u47
 
1.7%
a26
 
1.0%
Other values (3)22
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII26358
> 99.9%
Punctuation3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3307
 
12.5%
"2940
 
11.2%
01779
 
6.7%
21632
 
6.2%
11590
 
6.0%
91398
 
5.3%
41270
 
4.8%
31263
 
4.8%
51135
 
4.3%
,1122
 
4.3%
Other values (26)8922
33.8%
Punctuation
ValueCountFrequency (%)
3
100.0%

days_when_seller_added
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
223
602 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1806
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row223
2nd row223
3rd row223
4th row223
5th row223

Common Values

ValueCountFrequency (%)
223602
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
223602
100.0%

Most occurring characters

ValueCountFrequency (%)
21204
66.7%
3602
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number1806
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
21204
66.7%
3602
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common1806
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
21204
66.7%
3602
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII1806
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21204
66.7%
3602
33.3%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

df_indexDate Addedcategorysellerlinksellerlink-urlsellerstorefront-urlsellerproductcountsellerratingssellerdetailsseller business namebusinessaddressCount of seller brandsMax % of negative seller ratings - last 30 daysMax % of negative seller ratings - last 90 daysMax % of negative seller ratings - last 12 monthsHero Product 1 #ratingsHero Product 2 #ratingsSample brand nameSample Brand URLcountry_codeseller_countseller_positive_rating_percentageseller_positive_rating_countseller_email_addressseller_email_address1seller_email_address2seller_phone_numberdays_when_seller_added
002020-11-15GardenSeller 1Seller 1-linkSeller 1-storefrontlink1-16 of over 100,000 results88% positive in the last 12 months (118 ratings)Lohas Living Inc James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 Email Address:jadgemaello@gmail.com James Mazzello US 845 3RD Ave Fl 6 New York NY 10022-6630 +1208-964-6807 EIN: 30-0961431 \nThe European Commission provides for an Online Dispute Resolution Platform, which you can access here: https://ec.europa.eu/consumers/odr/\n\nPlease see the following link for the nationally appointed Alternative Dispute Resolution bodies contact details: https://webgate.ec.europa.eu/od...Business Name:Lohas Living Inc411 THEODORE FREMD AVESTE 206 SOUTHRyeNY10580-1410US1617111258734957Visit the YAMAZAKI Storehttps://www.amazon.de/-/en/stores/YAMAZAKI/page/B9975298-FF1F-4EE2-BD7B-53AE47A44D8A?ref_=ast_blnUS100000.088.0118.0[Address:jadgemaello@gmail.com]jadgemaello@gmail.comNone[" 10022-6630", " +1208-964-6807", " 10022-6630", " +1208-964-6807", ":30-0961431"]223
112020-11-15GardenSeller 2Seller 2-linkSeller 2-storefrontlinkNaN90% positive in the last 12 months (566 ratings)Herzlich Willkommen im Amazon Shop von 1a-Handelsagentur. Für Fragen stehen wir Ihnen gerne unter der 039932-829721 zur Verfügung. Sie können auch direkt eine E-Mail an info@1a-handelsagentur.de schreiben. Anschrift\n1a-handelsagentur.de\nAndre Burmeister\nLindenallee 2\n17213 Malchow Kontakt\nTel.: 039932 - 829721 \nFax.: 039932 – 81417 \nE-Mail: info@1a-handelsagentur.de\nInternet: www.1a-handelsagentur.de\n\nUmsatzsteueridentnummer: DE 223758473 \nWir berechnen Ihnen folgende Versandkosten:(DE) Deutschland 0,00 E...Business Name:1a-Handelsagentur1a HandelsagenturLindenallee 2MalchowMecklenburg17213DE022900Visit the tesa Storehttps://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_blnDENaN90.0566.0[info@1a-handelsagentur.de, info@1a-handelsagentur.de]info@1a-ha.deinfo@1a-ha.de["er 039932-829721", "llee 2-n17213", "Tel.: 039932 - 829721", ".: 039932 – 81417", " 223758473"]223
252020-11-15GardenSeller 6Seller 6-linkSeller 6-storefrontlink1-16 of 28 resultsNaN7830jeff is committed to providing each customer with the highest standard of customer service.NaNNaN1300032842944Stratahttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=StrataNaN28.0NaNNaN[]NoneNone[]223
3142020-11-15GardenSeller 15Seller 15-linkSeller 15-storefrontlink1-16 of 919 results97% positive in the last 12 months (116 ratings)Impressum\n \n Gesetzliche Anbieterkennung:\n \n Oliver Mills\n 9:PM\n An der Bundesstrasse 26\n 33829 Borgholzhausen\n Deutschland\n Telefon: 015140008562\n E-Mail: webmaster@9pm-store.de\n USt-IdNr.: DE215752000\n \n Wir sind seit 01.08.2015 Mitglied der Initiative "FairCommerce".\n Nähere Informationen hierzu finden Sie unter .fair-commerce.de. Alternative Streitbeilegung: \nDie Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/\n\nUnter diesem L...Business Name:Oliver MillsKaiserstr.12Borgholzhausen33829DE150031446921Unbekannthttps://www.amazon.de/-/en/Unbekannt/b/ref=bl_dp_s_web_19533614031?ie=UTF8&node=19533614031&field-lbr_brands_browse-bin=UnbekanntDE919.097.0116.0[webmaster@9pm-store.de]NoneNone["e 26-n 33829", "Telefon: 015140008562", "215752000", "01.08.2015"]223
4192020-11-15GardenSeller 20Seller 20-linkSeller 20-storefrontlinkNaN76% positive in the last 12 months (3721 ratings)Impressum: ABC-Schnäppchenmarkt GmbH \n Jösser Weg 10\n 32469 Petershagen-Windheim\n Deutschland \n \n Tel.: 0570591155\n Fax: 0570591156\n E-Mail: abc-markt@web.de \n \n Registergericht: Amtsgericht Bad Oeynhausen \n Registernummer: HRB 10862 \n \n Geschäftsführer: Thomas Wiebke \n \n Umsatzsteuer-Identifikationsnummer gemäß § 27 a Umsatzsteuergesetz: DE 213823102  Den anklickbaren Link zur Plattform der EU-Kommission zur Online Streitbeilegung erreichen Sie, indem Sie auf den Nachfolgenden Punkt "Mehr lesen" klicken Wir...Business Name:ABC-Schnäppchenmarkt GmbHJösser Weg10Petershagen32469DE018202000Visit the TFA Dostmann Storehttps://www.amazon.de/-/en/stores/TFA+Dostmann+GmbH+%26+Co+KG/page/EAF5F066-D2DC-42AB-8D1D-9E5898BCA26D?ref_=ast_blnDENaN76.03721.0[abc-markt@web.de]info@itenga.deNone[" 10-n 32469", "Tel.: 0570591155", ": 0570591156", " 10862", " 213823102"]223
5202020-11-15GardenSeller 21Seller 21-linkSeller 21-storefrontlink1-16 of 123 resultsNaNAllSparesEire is committed to providing each customer with the highest standard of customer service.Business Name:All Terrain IrelandWEXFORDGOREY46 MAIN STY25T2N4IE14000837787Mountfield Outdoor Spareshttps://www.amazon.de/-/en/Mountfield-Outdoor-Spares/b/ref=bl_dp_s_web_9440109031?ie=UTF8&node=9440109031&field-lbr_brands_browse-bin=Mountfield+Outdoor+SparesIE123.0NaNNaN[]nils.holm@zierleyn.deNone[]223
6212020-11-15GardenSeller 22Seller 22-linkSeller 22-storefrontlinkNaN92% positive in the last 12 months (181 ratings)Firmenwortlaut: GURU2016GmbH\n Geschäftsführung: Stefan Schnidar, MSc.\n Firmenanschrift:Packer Hauptstraße 8\n A-8582 Rosental an der Kainach\n \n eMail: (Support, Versand)support@bauguru.at\n Mo-Fr 08:00 Uhr -12:00 Uhr\n eMail: (Geschäftsführung)office@bauguru.at\n Web: bauguru.at\n \n Bankverbindung: Raiffeisenbank Lipizzanerheimat\n IBAN: AT78 3848 7000 0038 6060 BIC:   RZSTAT2G487\n \n Geschäftszweig:Handelsgewerbe\n Zuständiges Gericht: Landesgericht Graz\n Firmenbuch:  466186v\n Registernummer:  586378\nUSt-Steuer-ID: AT...Business Name:GURU 2016 GmbHBAUGURU, GURU 2016 GmbHWarenannahme Vogl Baumarkt GmbHRosental an der KainachSteiermark8582AT007600Visit the tesa Storehttps://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_blnATNaN92.0181.0[Versand)support@bauguru.at, (Geschäftsführung)office@bauguru.at]info@kabel-licht.deNone["T78 3848 7000 0038 6060", "h:466186", "ernummer:586378"]223
7222020-11-15GardenSeller 23Seller 23-linkSeller 23-storefrontlink1-16 of over 40,000 results100% positive in the last 12 months (10 ratings)Bestof Floral is committed to providing each customer with the highest standard of customer service.Business Name:MADEWELL SUPPLY INC90 BROAD ST 2ND FLOORNEW YORKNY10004-2205US16000105388293Visit the Seville Classics Storehttps://www.amazon.de/-/en/stores/Seville+Classics/page/E8D49E5C-1784-4FF1-A92A-C8B52AF7F532?ref_=ast_blnUS40000.0100.010.0[]info@kaiser24.shopNone[]223
8232020-11-15GardenSeller 24Seller 24-linkSeller 24-storefrontlink1-16 of over 100,000 results88% positive in the last 12 months (3134 ratings)Blumenbecker Industriebedarf GmbH Sudhoferweg 99-107 59269 Beckum Geschäftsführer: Dipl. Kfm. Richard Mayer, Olaf Lingnau Handelsregister: Amtsgericht Münster HRB 7020 Ust-IdNr: DE 214 670 936 Telefon: 02521/8406-0 E-Mail: bib.beckum@blumenbecker.com \nDie Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/\n\nUnter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa...Business Name:Blumenbecker Industriebedarf GmbHSudhoferweg 99-107BeckumNRW59269DE151512103013911182Visit the tesa Storehttps://www.amazon.de/-/en/stores/tesa/page/12E699E9-FA20-4BC9-A12B-8A9CDE0C446C?ref_=ast_blnDE100000.088.03134.0[bib.beckum@blumenbecker.com]info@kaleidoshop.deNone[" 99-107 59269", " 214 670 936", "Telefon: 02521/8406-0"]223
9242020-11-15GardenSeller 25Seller 25-linkSeller 25-storefrontlink1-16 of over 3,000 results97% positive in the last 12 months (610 ratings)Herzlich willkommen auf unserer Internetpräsents.\n \n \n \n Wir sind ein alt eingesessenes Blumen-Fachgeschäft im Herzen von Korntal.\n \n\n Unser Ziel im Internet ist es, ihnen eine gute Qualität kombiniert mit kompetenter Beratung zukommen zu lassen.\n \n\n \n \n\n Lassen Sie sich bei der Verschönerung ihres Gartens bei einem Rundgang durch unsere virtuellen Verkaufsräume inspirieren und kompetent beraten.\n \n\n \n \n\n Unsere Schwerpunkte im Internet:\n \n \n\n Rasensamen\n \n\n Blumenzwiebeln\n \n\n Sämereien allgemein\n\n BIO Sämereien\n \n\n Pflanzenschutz von Bayer\n \n\n \n Chrysal D...Business Name:Jörg Müller & Petra Scheerer GbRMiranderstr.21Korntal-Münchingen70825DE1531232863079Neudorffhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=NeudorffDE3000.097.0610.0[]info@kalishop.deNone[]223

Last rows

df_indexDate Addedcategorysellerlinksellerlink-urlsellerstorefront-urlsellerproductcountsellerratingssellerdetailsseller business namebusinessaddressCount of seller brandsMax % of negative seller ratings - last 30 daysMax % of negative seller ratings - last 90 daysMax % of negative seller ratings - last 12 monthsHero Product 1 #ratingsHero Product 2 #ratingsSample brand nameSample Brand URLcountry_codeseller_countseller_positive_rating_percentageseller_positive_rating_countseller_email_addressseller_email_address1seller_email_address2seller_phone_numberdays_when_seller_added
59217802020-11-15GardenSeller 1781Seller 1781-linkSeller 1781-storefrontlink1-16 of over 1,000 results97% positive in the last 12 months (631 ratings)Matthias Löchelt\n Ruhrstraße 13\n 59955 Winterberg\n Deutschland\n Telefon: +49 (0)2985-3689961\n Fax: +49 (0)2985-3689962\n eMail: amazon@zoostore.de\n Ust-Id-Nr. DE813214373\n \n Alternative Streitbeilegung\n Die EU-Kommission stellt im Internet unter folgendem Link eine Plattform zur Online-Streitbeilegung bereit: ec.europa.eu/consumers/odr\n \nDiese Plattform dient als Anlaufstelle zur außergerichtlichen Beilegung von Streitigkeiten aus Online-Kauf- oder Dienstleistungsverträgen, an denen ein Verbraucher beteilig...Business Name:Matthias Löchelt VersandhandelAm Hagen 26Winterberg59955DE14222601321Skylinehttps://www.amazon.de/-/en/Skyline/b/ref=bl_dp_s_web_2464089031?ie=UTF8&node=2464089031&field-lbr_brands_browse-bin=SkylineDE1000.097.0631.0[amazon@zoostore.de]NaNNaN["e 13-n 59955", "Telefon: +49 (0)2985-3689961", ": +49 (0)2985-3689962", "813214373"]223
59317812020-11-15GardenSeller 1782Seller 1782-linkSeller 1782-storefrontlink1-16 of 400 results91% positive in the last 12 months (196 ratings)Impressum\n \n Gesetzliche Anbieterkennung:\n \n Daniels Zoo & Aquaristik UG\n Sandkaulerweg 10\n 53489 Sinzig\n vertreten durch den Geschäftsführer Daniel Weber\n Telefon: 02642 / 992034\n E-Mail: amazon@zooweber.de\n USt-IdNr.: DE 283284021\n eingetragen im Handelsregister des Amtsgerichtes Koblenz\n Handelsregisternummer HRB 23132\n \n \n \n \n \nDie europäische Online-Streitbeilegungsplattform („OS-Plattform“) wird nach Bereitstellung durch die EU-Kommission über das Portal „Ihr Europa“ zugänglich sein. /https://ec.europa.eu/...Business Name:Daniels Zoo & Aquaristik UG (haftungsbeschränkt)Sandkaulerweg 10SinzigRheinland-Pfalz53489DE1400736821450(blank)(blank)DE400.091.0196.0[amazon@zooweber.de]NaNNaN[" 10-n 53489", "Telefon: 02642 / 992034", " 283284021", " 23132"]223
59417842020-11-15GardenSeller 1785Seller 1785-linkSeller 1785-storefrontlink1-16 of over 100,000 results98% positive in the last 12 months (2630 ratings)Impressum nach TMG:\n\nZoreno Versandhandel GmbH\nBlegistrasse 25\n6340 Baar\nSchweiz\n\nEmail: ade.support@zoreno.com\nGeschäftsleitung: Walter Brutscher\nUID: CHE-205.820.721\nHandelsregister-Nummer: CH-170.4.010.783-2\nHandelsregisteramt Zug/SchweizBusiness Name:Zoreno Versandhandel GmbHBlegistrasse 25BaarZG6340CH16322258024979(blank)(blank)CH100000.098.02630.0[ade.support@zoreno.com]NaNNaN["e 25-n6340", "205.820.721", "170.4.010.783-2"]223
59517852020-11-15GardenSeller 1786Seller 1786-linkSeller 1786-storefrontlink1-16 of 285 results100% positive lifetime (3 total ratings)Zorgthuiswinkel is committed to providing each customer with the highest standard of customer service.Business Name:ZORGTHUISWINKEL.NLindustriestraat 1RijenNoord brabant5121LENL1500020431134St Helens Home and Gardenhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=diy&field-keywords=St+Helens+Home+and+GardenNL285.0100.03.0[]NaNNaN[]223
59617982020-11-15GardenSeller 1799Seller 1799-linkSeller 1799-storefrontlink1-16 of over 40,000 results67% positive lifetime (3 total ratings)zsxaaasdf is committed to providing each customer with the highest standard of customer service.NaNNaN200020zsxaaasdfhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=kitchen-de&field-keywords=zsxaaasdfNaN40000.067.03.0[]NaNNaN[]223
59718082020-11-15GardenSeller 1809Seller 1809-linkSeller 1809-storefrontlink1-16 of 52 results100% positive in the last 12 months (16 ratings)Zündholz Riesa is committed to providing each customer with the highest standard of customer service.Business Name:AD-ACCESS-Zündholz Riesa GmbHPaul-Greifzu-Straße22Riesa01591DE80006541NOLAhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=NOLADE52.0100.016.0[]NaNNaN[]223
59818132020-11-15GardenSeller 1814Seller 1814-linkSeller 1814-storefrontlink1-16 of 177 results100% positive in the last 12 months (10 ratings)Impressum:\n\nStephanie Severt\n\nZUR ROSA KUH\n\nBreekamp 29\n\n48691 Vreden\n\nTel. 02567 / 4729886\n\nE-Mail: info@zurrosakuh.de\n\nSteueridentifikation: USt-IdNr.: DE815289413\n\nUnsere E-Mail Adresse lautet: info@zurrosakuh.de\n\n\nDie Europäische Kommission bietet eine Onlineplattform für Streitbeilegung an, die Sie hier finden: https://ec.europa.eu/consumers/odr/Unter diesem Link finden Sie die Kontaktdaten der offiziellen Streitbeilegungsstellen: https://webgate.ec.europa.eu/odr/main/index.cfm?event=main.adr.showVAT Number:DE815289413NaN150009118Ricehttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=RiceNaN177.0100.010.0[info@zurrosakuh.de, info@zurrosakuh.de]NaNNaN[" 29-n-n48691", "Tel. 02567 / 4729886", "815289413"]223
59918142020-11-15GardenSeller 1815Seller 1815-linkSeller 1815-storefrontlink1-16 of over 1,000 results91% positive in the last 12 months (3075 ratings)Reinhard Joormann -FansandTrends- e.K. Im Stadtsfeld 55 46282 Dorsten Deutschland Telefon: 023626057826 E-Mail: r.joormann@googlemail.com USt-IdNr.: DE 814772247 eingetragen im Handelsregister des Amtsgerichtes Gelsenkirchen Handelsregisternummer : HRA 5303 Unser Servicetelefon ist von Mo.-Fr.von 10-18.00 Uhr errreichbar. Wenn Sie uns zu anderen Zeiten kontaktieren wollen, dann schreiben Sie bitte eine Mail an r.joormann@googlemail.com Danke Telefon: 023626057826 Die EU-Kommission stell...Business Name:Reinhard Joormann -FansandTrends- e.K.Im Stadtsfeld 55Dorsten46282DE15687636466Star-Maxhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=garden-de&field-keywords=Star-MaxDE1000.091.03075.0[r.joormann@googlemail.com, r.joormann@googlemail.com]NaNNaN[" 55 46282", "Telefon: 023626057826", " 814772247", "on 10-18.00", "Telefon:023626057826"]223
60018152020-11-15GardenSeller 1816Seller 1816-linkSeller 1816-storefrontlink1-16 of over 2,000 results100% positive lifetime (4 total ratings)Zwoofershop is committed to providing each customer with the highest standard of customer service.Business Name:Zwoofer.comOrteliusstraat 287-3AmsterdamNoord-Holland1056 NVNL160002726911333Versele-Lagahttps://www.amazon.de/-/en/Versele-Laga/b/ref=bl_dp_s_web_1801568031?ie=UTF8&node=1801568031&field-lbr_brands_browse-bin=Versele-LagaNL2000.0100.04.0[]NaNNaN[]223
60118282020-11-15GardenSeller 1829Seller 1829-linkSeller 1829-storefrontlinkNaNNaNNaNNaNNaN000000XDLHhttps://www.amazon.de/-/en/s/ref=bl_dp_s_web_0?ie=UTF8&search-type=ss&index=kitchen-de&field-keywords=XDLHNaNNaNNaNNaN[]NaNNaNnan223